{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T15:52:37Z","timestamp":1742917957432,"version":"3.40.3"},"publisher-location":"Berlin, Heidelberg","reference-count":121,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783662611128"},{"type":"electronic","value":"9783662611142"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-662-61114-2_6","type":"book-chapter","created":{"date-parts":[[2020,3,23]],"date-time":"2020-03-23T13:04:49Z","timestamp":1584968689000},"page":"81-101","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["A Review on State-of-the-Art Computer-Based Approaches for the Early Recognition of Malignant Melanoma"],"prefix":"10.1007","author":[{"given":"Georgia","family":"Kontogianni","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ilias","family":"Maglogiannis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,3,24]]},"reference":[{"key":"6_CR1","doi-asserted-by":"publisher","first-page":"345","DOI":"10.1038\/nrc.2016.37","volume":"16","author":"AH Shain","year":"2016","unstructured":"Shain, A.H., Bastian, B.C.: From melanocytes to melanomas. Nat. Rev. Cancer 16, 345\u2013358 (2016). \nhttps:\/\/doi.org\/10.1038\/nrc.2016.37","journal-title":"Nat. Rev. Cancer"},{"key":"6_CR2","unstructured":"Melanoma Research Foundation. \nhttps:\/\/www.melanoma.org\/home-page\n\n. Accessed 11 Feb 2019"},{"key":"6_CR3","doi-asserted-by":"publisher","first-page":"144","DOI":"10.1016\/j.compbiomed.2013.11.002","volume":"44","author":"JLG Arroyo","year":"2014","unstructured":"Arroyo, J.L.G., Zapirain, B.G.: Detection of pigment network in dermoscopy images using supervised machine learning and structural analysis. Comput. Biol. Med. 44, 144\u2013157 (2014)","journal-title":"Comput. Biol. Med."},{"key":"6_CR4","first-page":"1027","volume":"15","author":"I Maglogiannis","year":"2006","unstructured":"Maglogiannis, I., Kosmopoulos, D.I.: Computational vision systems for the detection of malignant melanoma. Oncol. Rep. 15, 1027\u20131032 (2006)","journal-title":"Oncol. Rep."},{"key":"6_CR5","unstructured":"Mishra, N.K., Celebi, M.E.: An overview of melanoma detection in dermoscopy images using image processing and machine learning (2016). \narXiv:160107843\n\n [cs, stat]"},{"key":"6_CR6","doi-asserted-by":"publisher","first-page":"1563","DOI":"10.1001\/archderm.134.12.1563","volume":"134","author":"G Argenziano","year":"1998","unstructured":"Argenziano, G., Fabbrocini, G., Carli, P., De Giorgi, V., Sammarco, E., Delfino, M.: Epiluminescence microscopy for the diagnosis of doubtful melanocytic skin lesions. Comparison of the ABCD rule of dermatoscopy and a new 7-point checklist based on pattern analysis. Arch. Dermatol. 134, 1563\u20131570 (1998)","journal-title":"Arch. Dermatol."},{"key":"6_CR7","doi-asserted-by":"publisher","first-page":"679","DOI":"10.1067\/mjd.2003.281","volume":"48","author":"G Argenziano","year":"2003","unstructured":"Argenziano, G., Soyer, H.P., Chimenti, S., Talamini, R., Corona, R., Sera, F., Binder, M., Cerroni, L., De Rosa, G., Ferrara, G.: Dermoscopy of pigmented skin lesions: results of a consensus meeting via the Internet. J. Am. Acad. Dermatol. 48, 679\u2013693 (2003)","journal-title":"J. Am. Acad. Dermatol."},{"key":"6_CR8","unstructured":"Betta, G., Di Leo, G., Fabbrocini, G., Paolillo, A., Scalvenzi, M.: Automated application of the \u201c7-Point Checklist\u201d diagnosis method for skin lesions: estimation of chromatic and shape parameters, pp. 1818\u20131822. IEEE (2005)"},{"key":"6_CR9","doi-asserted-by":"crossref","unstructured":"Ogorza\u0142ek, M., Nowak, L., Surowka, G., Alekseenko, A.: Melanoma in the clinic\u2014diagnosis, management and complications of malignancy. In: Modern Techniques for Computer-Aided Melanoma Diagnosis (2011)","DOI":"10.5772\/23388"},{"key":"6_CR10","doi-asserted-by":"publisher","first-page":"402","DOI":"10.1111\/j.1365-4632.2006.02726.x","volume":"45","author":"AG Manousaki","year":"2006","unstructured":"Manousaki, A.G., Manios, A.G., Tsompanaki, E.I., Panayiotides, J.G., Tsiftsis, D.D., Kostaki, A.K., Tosca, A.D.: A simple digital image processing system to aid in melanoma diagnosis in an everyday melanocytic skin lesion unit. A preliminary report. Int. J. Dermatol. 45, 402\u2013410 (2006)","journal-title":"Int. J. Dermatol."},{"key":"6_CR11","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1109\/51.107171","volume":"10","author":"SE Umbaugh","year":"1991","unstructured":"Umbaugh, S.E., Moss, R.H., Stoecker, W.V.: Applying artificial intelligence to the identification of variegated coloring in skin tumors. IEEE Eng. Med. Biol. Mag. 10, 57\u201362 (1991)","journal-title":"IEEE Eng. Med. Biol. Mag."},{"key":"6_CR12","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1109\/51.603650","volume":"16","author":"SE Umbaugh","year":"1997","unstructured":"Umbaugh, S.E., Wei, Y.-S., Zuke, M.: Feature extraction in image analysis. A program for facilitating data reduction in medical image classification. IEEE Eng. Med. Biol. Mag. 16, 62\u201373 (1997)","journal-title":"IEEE Eng. Med. Biol. Mag."},{"key":"6_CR13","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1177\/030089169808400106","volume":"84","author":"S Tomatis","year":"1998","unstructured":"Tomatis, S., Bono, A., Bartoli, C., Tragni, G., Farina, B., Marchesini, R.: Image analysis in the RGB and HS colour planes for a computer-assisted diagnosis of cutaneous pigmented lesions. Tumori 84, 29\u201332 (1998)","journal-title":"Tumori"},{"key":"6_CR14","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1109\/42.222664","volume":"12","author":"M Herbin","year":"1993","unstructured":"Herbin, M., Bon, F.-X., Venot, A., Jeanlouis, F., Dubertret, M., Dubertret, L., Strauch, G.: Assessment of healing kinetics through true color image processing. IEEE Trans. Med. Imaging 12, 39\u201343 (1993)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"6_CR15","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1007\/BF00735581","volume":"75","author":"W Lohmann","year":"1988","unstructured":"Lohmann, W., Paul, E.: In situ detection of melanomas by fluorescence measurements. Naturwissenschaften 75, 201\u2013202 (1988)","journal-title":"Naturwissenschaften"},{"key":"6_CR16","doi-asserted-by":"publisher","first-page":"727","DOI":"10.1016\/0959-8049(95)00649-4","volume":"32","author":"A Bono","year":"1996","unstructured":"Bono, A., Tomatis, S., Bartoli, C., Cascinelli, N., Clemente, C., Cupeta, C., Marchesini, R.: The invisible colours of melanoma. A telespectrophotometric diagnostic approach on pigmented skin lesions. Eur. J. Cancer 32, 727\u2013729 (1996)","journal-title":"Eur. J. Cancer"},{"key":"6_CR17","doi-asserted-by":"publisher","first-page":"1730","DOI":"10.1016\/S0959-8049(98)00210-X","volume":"34","author":"B Chwirot","year":"1998","unstructured":"Chwirot, B., Chwirot, S., Redzi\u0144ski, J., Michniewicz, Z.: Detection of melanomas by digital imaging of spectrally resolved ultraviolet light-induced autofluorescence of human skin. Eur. J. Cancer 34, 1730\u20131734 (1998)","journal-title":"Eur. J. Cancer"},{"key":"6_CR18","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1016\/S0169-2607(99)00003-6","volume":"59","author":"J Sanders","year":"1999","unstructured":"Sanders, J., Goldstein, B., Leotta, D., Richards, K.: Image processing techniques for quantitative analysis of skin structures. Comput. Methods Programs Biomed. 59, 167\u2013180 (1999)","journal-title":"Comput. Methods Programs Biomed."},{"key":"6_CR19","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1109\/42.918473","volume":"20","author":"H Ganster","year":"2001","unstructured":"Ganster, H., Pinz, P., Rohrer, R., Wildling, E., Binder, M., Kittler, H.: Automated melanoma recognition. IEEE Trans. Med. Imaging 20, 233\u2013239 (2001)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"6_CR20","doi-asserted-by":"publisher","first-page":"959","DOI":"10.1109\/TMI.2003.815901","volume":"22","author":"C Grana","year":"2003","unstructured":"Grana, C., Pellacani, G., Cucchiara, R., Seidenari, S.: A new algorithm for border description of polarized light surface microscopic images of pigmented skin lesions. IEEE Trans. Med. Imaging 22, 959\u2013964 (2003)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"6_CR21","doi-asserted-by":"publisher","first-page":"479","DOI":"10.1016\/j.compmedimag.2009.10.003","volume":"34","author":"MM Rahman","year":"2010","unstructured":"Rahman, M.M., Bhattacharya, P.: An integrated and interactive decision support system for automated melanoma recognition of dermoscopic images. Comput. Med. Imaging Graph. 34, 479\u2013486 (2010)","journal-title":"Comput. Med. Imaging Graph."},{"key":"6_CR22","doi-asserted-by":"publisher","first-page":"571","DOI":"10.1016\/S0190-9622(87)70239-4","volume":"17","author":"H Pehamberger","year":"1987","unstructured":"Pehamberger, H., Steiner, A., Wolff, K.: In vivo epiluminescence microscopy of pigmented skin lesions. I. Pattern analysis of pigmented skin lesions. J. Am. Acad. Dermatol. 17, 571\u2013583 (1987)","journal-title":"J. Am. Acad. Dermatol."},{"key":"6_CR23","first-page":"145","volume":"65","author":"W Stolz","year":"1994","unstructured":"Stolz, W., Landthaler, M.: Classification, diagnosis and differential diagnosis of malignant melanoma. Der Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen 65, 145\u2013152 (1994)","journal-title":"Der Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen"},{"key":"6_CR24","doi-asserted-by":"publisher","first-page":"1178","DOI":"10.1001\/archderm.1996.03890340038007","volume":"132","author":"SW Menzies","year":"1996","unstructured":"Menzies, S.W., Ingvar, C., Crotty, K.A., McCarthy, W.H.: Frequency and morphologic characteristics of invasive melanomas lacking specific surface microscopic features. Arch. Dermatol. 132, 1178\u20131182 (1996)","journal-title":"Arch. Dermatol."},{"key":"6_CR25","unstructured":"Dermoscopy. \nhttp:\/\/www.dermoscopy.org\/\n\n. Accessed 11 Feb 2019"},{"key":"6_CR26","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1109\/TITB.2004.837859","volume":"9","author":"I Maglogiannis","year":"2005","unstructured":"Maglogiannis, I., Pavlopoulos, S., Koutsouris, D.: An integrated computer supported acquisition, handling, and characterization system for pigmented skin lesions in dermatological images. IEEE Trans. Inf Technol. Biomed. 9, 86\u201398 (2005)","journal-title":"IEEE Trans. Inf Technol. Biomed."},{"key":"6_CR27","doi-asserted-by":"publisher","first-page":"719","DOI":"10.1016\/j.jaad.2008.10.065","volume":"60","author":"AG Goodson","year":"2009","unstructured":"Goodson, A.G., Grossman, D.: Strategies for early melanoma detection: approaches to the patient with nevi. J. Am. Acad. Dermatol. 60, 719\u2013735 (2009)","journal-title":"J. Am. Acad. Dermatol."},{"key":"6_CR28","unstructured":"Maglogiannis, I., Caroni, C., Pavlopoulos, S., Karioti, V., Koutsouris, D.: Utilizing artificial intelligence for the characterization of dermatological images, pp. 362\u2013368 (2001)"},{"key":"6_CR29","doi-asserted-by":"crossref","unstructured":"Grana, C., Pellacani, G., Seidenari, S., Cucchiara, R.: Color calibration for a dermatological video camera system, pp. 798\u2013801. IEEE (2004)","DOI":"10.1109\/ICPR.2004.1334649"},{"key":"6_CR30","doi-asserted-by":"publisher","first-page":"495","DOI":"10.1016\/S0895-6111(01)00017-9","volume":"25","author":"A Gutenev","year":"2001","unstructured":"Gutenev, A., Skladnev, V., Varvel, D.: Acquisition-time image quality control in digital dermatoscopy of skin lesions. Comput. Med. Imaging Graph. 25, 495\u2013499 (2001)","journal-title":"Comput. Med. Imaging Graph."},{"key":"6_CR31","doi-asserted-by":"publisher","first-page":"e27","DOI":"10.1111\/j.1600-0846.2011.00603.x","volume":"19","author":"Q Abbas","year":"2013","unstructured":"Abbas, Q., Garcia, I.F., Celebi, M.E., Ahmad, W.: A feature-preserving hair removal algorithm for dermoscopy images. Skin Res Technol 19, e27\u2013e36 (2013). \nhttps:\/\/doi.org\/10.1111\/j.1600-0846.2011.00603.x","journal-title":"Skin Res Technol"},{"key":"6_CR32","doi-asserted-by":"crossref","unstructured":"Yuan, X., Yang, Z., Zouridakis, G., Mullani, N.: SVM-based texture classification and application to early melanoma detection, pp. 4775\u20134778. IEEE (2006)","DOI":"10.1109\/IEMBS.2006.260056"},{"key":"6_CR33","unstructured":"Zouridakis, G., Doshi, M., Mullani, N.: Early diagnosis of skin cancer based on segmentation and measurement of vascularization and pigmentation in nevoscope images, pp. 1593\u20131596. IEEE (2004)"},{"key":"6_CR34","doi-asserted-by":"publisher","first-page":"148","DOI":"10.1016\/j.compmedimag.2008.11.002","volume":"33","author":"ME Celebi","year":"2009","unstructured":"Celebi, M.E., Iyatomi, H., Schaefer, G., Stoecker, W.V.: Lesion border detection in dermoscopy images. Comput. Med. Imaging Graph. 33, 148\u2013153 (2009)","journal-title":"Comput. Med. Imaging Graph."},{"key":"6_CR35","doi-asserted-by":"crossref","unstructured":"Chiem, A., Al-Jumaily, A., Khushaba, R.N.: A novel hybrid system for skin lesion detection, pp. 567\u2013572 . IEEE (2007)","DOI":"10.1109\/ISSNIP.2007.4496905"},{"key":"6_CR36","doi-asserted-by":"publisher","first-page":"288","DOI":"10.1080\/03091900802451315","volume":"33","author":"M Messadi","year":"2009","unstructured":"Messadi, M., Bessaid, A., Taleb-Ahmed, A.: Extraction of specific parameters for skin tumour classification. J. Med. Eng. Technol. 33, 288\u2013295 (2009)","journal-title":"J. Med. Eng. Technol."},{"key":"6_CR37","unstructured":"Motoyama, H., Tanaka, T., Tanaka, M., Oka, H.: Feature of malignant melanoma based on color information, pp. 230\u2013233. IEEE (2004)"},{"key":"6_CR38","doi-asserted-by":"publisher","first-page":"e490","DOI":"10.1111\/j.1600-0846.2012.00670.x","volume":"19","author":"Q Abbas","year":"2013","unstructured":"Abbas, Q., Garcia, I.F., Celebi, M.E., Ahmad, W., Mushtaq, Q.: A perceptually oriented method for contrast enhancement and segmentation of dermoscopy images. Skin Res. Technol. 19, e490\u2013e497 (2013). \nhttps:\/\/doi.org\/10.1111\/j.1600-0846.2012.00670.x","journal-title":"Skin Res. Technol."},{"key":"6_CR39","doi-asserted-by":"publisher","first-page":"533","DOI":"10.1016\/S0010-4825(97)00020-6","volume":"27","author":"T Lee","year":"1997","unstructured":"Lee, T., Ng, V., Gallagher, R., Coldman, A., McLean, D.: DullRazor: a software approach to hair removal from images. Comput. Biol. Med. 27, 533\u2013543 (1997)","journal-title":"Comput. Biol. Med."},{"key":"6_CR40","doi-asserted-by":"crossref","unstructured":"Maglogiannis, I., Delibasis, K.: Hair removal on dermoscopy images. In: 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 2960\u20132963 (2015)","DOI":"10.1109\/EMBC.2015.7319013"},{"key":"6_CR41","doi-asserted-by":"publisher","first-page":"e252","DOI":"10.1111\/j.1600-0846.2012.00636.x","volume":"19","author":"ME Celebi","year":"2013","unstructured":"Celebi, M.E., Wen, Q., Hwang, S., Iyatomi, H., Schaefer, G.: Lesion border detection in dermoscopy images using ensembles of thresholding methods. Skin Res. Technol. 19, e252\u2013e258 (2013). \nhttps:\/\/doi.org\/10.1111\/j.1600-0846.2012.00636.x","journal-title":"Skin Res. Technol."},{"key":"6_CR42","doi-asserted-by":"publisher","first-page":"735","DOI":"10.1016\/j.procs.2015.04.209","volume":"48","author":"S Jain","year":"2015","unstructured":"Jain, S., jagtap, V., Pise, N.: Computer aided melanoma skin cancer detection using image processing. Procedia Comput. Sci. 48, 735\u2013740 (2015). \nhttps:\/\/doi.org\/10.1016\/j.procs.2015.04.209","journal-title":"Procedia Comput. Sci."},{"key":"6_CR43","unstructured":"Taouil, K., Romdhane, N.B., Bouhlel, M.S.: A new automatic approach for edge detection of skin lesion images, pp. 212\u2013220. IEEE (2006)"},{"key":"6_CR44","doi-asserted-by":"publisher","first-page":"128","DOI":"10.1016\/j.compmedimag.2010.07.007","volume":"35","author":"M Mete","year":"2011","unstructured":"Mete, M., Kockara, S., Aydin, K.: Fast density-based lesion detection in dermoscopy images. Comput. Med. Imaging Graph. 35, 128\u2013136 (2011). \nhttps:\/\/doi.org\/10.1016\/j.compmedimag.2010.07.007","journal-title":"Comput. Med. Imaging Graph."},{"key":"6_CR45","doi-asserted-by":"publisher","first-page":"528","DOI":"10.1002\/jemt.23009","volume":"81","author":"M Nasir","year":"2018","unstructured":"Nasir, M., Attique Khan, M., Sharif, M., Lali, I.U., Saba, T., Iqbal, T.: An improved strategy for skin lesion detection and classification using uniform segmentation and feature selection based approach. Microsc. Res. Tech. 81, 528\u2013543 (2018). \nhttps:\/\/doi.org\/10.1002\/jemt.23009","journal-title":"Microsc. Res. Tech."},{"key":"6_CR46","doi-asserted-by":"publisher","first-page":"1004","DOI":"10.1016\/j.cviu.2012.11.015","volume":"117","author":"H Zhou","year":"2013","unstructured":"Zhou, H., Li, X., Schaefer, G., Celebi, M.E., Miller, P.: Mean shift based gradient vector flow for image segmentation. Comput. Vis. Image Underst. 117, 1004\u20131016 (2013). \nhttps:\/\/doi.org\/10.1016\/j.cviu.2012.11.015","journal-title":"Comput. Vis. Image Underst."},{"key":"6_CR47","doi-asserted-by":"crossref","unstructured":"Kwasnicka, H., Paradowski, M.: Melanocytic lesion images segmentation enforcing by spatial relations based declarative knowledge, pp. 286\u2013291. IEEE (2005)","DOI":"10.1109\/ISDA.2005.63"},{"key":"6_CR48","first-page":"23","volume":"11","author":"N Otsu","year":"1975","unstructured":"Otsu, N.: A threshold selection method from gray-level histograms. Automatica 11, 23\u201327 (1975)","journal-title":"Automatica"},{"key":"6_CR49","doi-asserted-by":"crossref","unstructured":"Arroyo, J.L.G., Zapirain, B.G., Zorrilla, A.M.: Blue-white veil and dark-red patch of pigment pattern recognition in dermoscopic images using machine-learning techniques. In: 2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), pp. 196\u2013201 (2011)","DOI":"10.1109\/ISSPIT.2011.6151559"},{"key":"6_CR50","doi-asserted-by":"publisher","first-page":"466","DOI":"10.1111\/srt.12216","volume":"21","author":"R Kaur","year":"2015","unstructured":"Kaur, R., Albano, P.P., Cole, J.G., Hagerty, J., LeAnder, R.W., Moss, R.H., Stoecker, W.V.: Real-time supervised detection of pink areas in dermoscopic images of melanoma: importance of color shades, texture and location. Skin Res. Technol. 21, 466\u2013473 (2015). \nhttps:\/\/doi.org\/10.1111\/srt.12216","journal-title":"Skin Res. Technol."},{"key":"6_CR51","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1080\/21681163.2015.1029080","volume":"5","author":"M Ruela","year":"2017","unstructured":"Ruela, M., Barata, C., Marques, J.S., Rozeira, J.: A system for the detection of melanomas in dermoscopy images using shape and symmetry features. Comp. Meth. Biomech. Biomed. Eng. 5, 127\u2013137 (2017). \nhttps:\/\/doi.org\/10.1080\/21681163.2015.1029080","journal-title":"Comp. Meth. Biomech. Biomed. Eng."},{"key":"6_CR52","doi-asserted-by":"publisher","first-page":"849","DOI":"10.1109\/TMI.2013.2239307","volume":"32","author":"M Sadeghi","year":"2013","unstructured":"Sadeghi, M., Lee, T.K., McLean, D., Lui, H., Atkins, M.S.: Detection and analysis of irregular streaks in dermoscopic images of skin lesions. IEEE Trans. Med. Imaging 32, 849\u2013861 (2013). \nhttps:\/\/doi.org\/10.1109\/TMI.2013.2239307","journal-title":"IEEE Trans. Med. Imaging"},{"key":"6_CR53","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1006\/jbin.2001.1004","volume":"34","author":"S Dreiseitl","year":"2001","unstructured":"Dreiseitl, S., Ohno-Machado, L., Kittler, H., Vinterbo, S., Billhardt, H., Binder, M.: A comparison of machine learning methods for the diagnosis of pigmented skin lesions. J. Biomed. Inform. 34, 28\u201336 (2001)","journal-title":"J. Biomed. Inform."},{"key":"6_CR54","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1016\/j.compmedimag.2010.07.002","volume":"35","author":"M Sadeghi","year":"2011","unstructured":"Sadeghi, M., Razmara, M., Lee, T.K., Atkins, M.S.: A novel method for detection of pigment network in dermoscopic images using graphs. Comput. Med. Imaging Graph. 35, 137\u2013143 (2011)","journal-title":"Comput. Med. Imaging Graph."},{"key":"6_CR55","unstructured":"Tanaka, T., Yamada, R., Tanaka, M., Shimizu, K., Oka, H.: A study on the image diagnosis of melanoma, pp. 1597\u20131600. IEEE (2004)"},{"key":"6_CR56","unstructured":"Zhang, Z., Moss, R.H., Stoecker, W.V.: Neural networks skin tumor diagnostic system, pp. 191\u2013192. IEEE (2003)"},{"key":"6_CR57","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1109\/42.552057","volume":"16","author":"GL Hansen","year":"1997","unstructured":"Hansen, G.L., Sparrow, E.M., Kokate, J.Y., Leland, K.J., Iaizzo, P.A.: Wound status evaluation using color image processing. IEEE Trans. Med. Imaging 16, 78\u201386 (1997)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"6_CR58","doi-asserted-by":"publisher","first-page":"417","DOI":"10.1016\/j.jaad.2006.08.033","volume":"56","author":"JC Boldrick","year":"2007","unstructured":"Boldrick, J.C., Layton, C.J., Nguyen, J., Swetter, S.M.: Evaluation of digital dermoscopy in a pigmented lesion clinic: clinician versus computer assessment of malignancy risk. J. Am. Acad. Dermatol. 56, 417\u2013421 (2007)","journal-title":"J. Am. Acad. Dermatol."},{"key":"6_CR59","doi-asserted-by":"publisher","first-page":"387","DOI":"10.1016\/S0895-6111(03)00030-2","volume":"27","author":"RJ Stanley","year":"2003","unstructured":"Stanley, R.J., Moss, R.H., Van Stoecker, W., Aggarwal, C.: A fuzzy-based histogram analysis technique for skin lesion discrimination in dermatology clinical images. Comput. Med. Imaging Graph. 27, 387\u2013396 (2003)","journal-title":"Comput. Med. Imaging Graph."},{"key":"6_CR60","doi-asserted-by":"publisher","first-page":"721","DOI":"10.1109\/TITB.2009.2017529","volume":"13","author":"I Maglogiannis","year":"2009","unstructured":"Maglogiannis, I., Doukas, C.N.: Overview of advanced computer vision systems for skin lesions characterization. IEEE Trans. Inf Technol. Biomed. 13, 721\u2013733 (2009)","journal-title":"IEEE Trans. Inf Technol. Biomed."},{"key":"6_CR61","doi-asserted-by":"crossref","unstructured":"Blanzieri, E., Eccher, C., Forti, S., Sboner, A.: Exploiting Classifier Combination for Early Melanoma Diagnosis Support, pp. 55\u201362. Springer, Berlin (2000)","DOI":"10.1007\/3-540-45164-1_7"},{"key":"6_CR62","unstructured":"Lefevre, E., Colot, O., Vannoorenberghe, P., de Brucq, D.: Knowledge modeling methods in the framework of evidence theory: an experimental comparison for melanoma detection, pp. 2806\u20132811. IEEE (2000)"},{"key":"6_CR63","doi-asserted-by":"publisher","first-page":"804","DOI":"10.1109\/21.376493","volume":"25","author":"T Denoeux","year":"1995","unstructured":"Denoeux, T.: A k-nearest neighbor classification rule based on Dempster-Shafer theory. IEEE Trans. Syst. Man Cybern. 25, 804\u2013813 (1995)","journal-title":"IEEE Trans. Syst. Man Cybern."},{"key":"6_CR64","unstructured":"Appriou, A.: Multisensor signal processing in the framework of the theory of evidence. Tir\u00e9 \u00e0 part\u2014Office national d\u2019\u00e9tudes et de recherches aerospatiales (1999)"},{"key":"6_CR65","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1186\/1472-6947-4-4","volume":"4","author":"IG Maglogiannis","year":"2004","unstructured":"Maglogiannis, I.G., Zafiropoulos, E.P.: Characterization of digital medical images utilizing support vector machines. BMC Med. Inform. Decis. Mak. 4, 4 (2004)","journal-title":"BMC Med. Inform. Decis. Mak."},{"key":"6_CR66","doi-asserted-by":"crossref","unstructured":"Abedini, M., Chen, Q., Codella, N.C.F., Garnavi, R., Sun, X.: Accurate and scalable system for automatic detection of malignant melanoma. In: Celebi, M.E., Mendon\u00e7a, T., Marques, J.S.: Dermoscopy Image Analysis, pp. 293\u2013343. CRC Press (2015)","DOI":"10.1201\/b19107-11"},{"key":"6_CR67","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1007\/s12293-014-0144-8","volume":"6","author":"G Schaefer","year":"2014","unstructured":"Schaefer, G., Krawczyk, B., Celebi, M.E., Iyatomi, H.: An ensemble classification approach for melanoma diagnosis. Memetic Comp. 6, 233\u2013240 (2014). \nhttps:\/\/doi.org\/10.1007\/s12293-014-0144-8","journal-title":"Memetic Comp."},{"key":"6_CR68","unstructured":"d\u2019Amico, M., Ferri, M., Stanganelli, I.: Qualitative asymmetry measure for melanoma detection, pp. 1155\u20131158. IEEE (2004)"},{"key":"6_CR69","doi-asserted-by":"publisher","first-page":"1052","DOI":"10.1016\/j.patcog.2008.07.011","volume":"42","author":"C Serrano","year":"2009","unstructured":"Serrano, C., Acha, B.: Pattern analysis of dermoscopic images based on Markov random fields. Pattern Recogn. 42, 1052\u20131057 (2009)","journal-title":"Pattern Recogn."},{"key":"6_CR70","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1016\/j.cmpb.2017.10.005","volume":"153","author":"JL Garcia-Arroyo","year":"2018","unstructured":"Garcia-Arroyo, J.L., Garcia-Zapirain, B.: Recognition of pigment network pattern in dermoscopy images based on fuzzy classification of pixels. Comput. Methods Progr. Biomed. 153, 61\u201369 (2018). \nhttps:\/\/doi.org\/10.1016\/j.cmpb.2017.10.005","journal-title":"Comput. Methods Progr. Biomed."},{"key":"6_CR71","doi-asserted-by":"crossref","unstructured":"Codella, N., Cai, J., Abedini, M., Garnavi, R., Halpern, A., Smith, J.R.: Deep learning, sparse coding, and SVM for melanoma recognition in dermoscopy images. In: Zhou, L., Wang, L., Wang, Q., Shi, Y. (eds.) Machine Learning in Medical Imaging, pp. 118\u2013126. Springer International Publishing (2015)","DOI":"10.1007\/978-3-319-24888-2_15"},{"key":"6_CR72","doi-asserted-by":"publisher","unstructured":"Codella, N.C.F., Nguyen, Q., Pankanti, S., Gutman, D.A., Helba, B., Halpern, A.C., Smith, J.R.: Deep learning ensembles for melanoma recognition in dermoscopy images. IBM J. Res. Dev. 61, 5:1\u20135:15 (2017). \nhttps:\/\/doi.org\/10.1147\/jrd.2017.2708299","DOI":"10.1147\/jrd.2017.2708299"},{"key":"6_CR73","doi-asserted-by":"publisher","first-page":"298","DOI":"10.1109\/42.14512","volume":"7","author":"A Venot","year":"1988","unstructured":"Venot, A., Devaux, J., Herbin, M., Lebruchec, J., Dubertret, L., Raulo, Y., Roucayrol, J.: An automated system for the registration and comparison of photographic images in medicine. IEEE Trans. Med. Imaging 7, 298\u2013303 (1988)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"6_CR74","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1109\/51.340749","volume":"14","author":"AV Cideciyan","year":"1995","unstructured":"Cideciyan, A.V.: Registration of ocular fundus images: an algorithm using cross-correlation of triple invariant image descriptors. IEEE Eng. Med. Biol. Mag. 14, 52\u201358 (1995)","journal-title":"IEEE Eng. Med. Biol. Mag."},{"key":"6_CR75","doi-asserted-by":"publisher","first-page":"448","DOI":"10.1049\/iet-ipr.2015.0385","volume":"10","author":"R Kasmi","year":"2016","unstructured":"Kasmi, R., Mokrani, K.: Classification of malignant melanoma and benign skin lesions: implementation of automatic ABCD rule. IET Image Proc. 10, 448\u2013455 (2016). \nhttps:\/\/doi.org\/10.1049\/iet-ipr.2015.0385","journal-title":"IET Image Proc."},{"key":"6_CR76","doi-asserted-by":"publisher","first-page":"489","DOI":"10.1016\/S1361-8415(03)00033-1","volume":"7","author":"E Claridge","year":"2003","unstructured":"Claridge, E., Cotton, S., Hall, P., Moncrieff, M.: From colour to tissue histology: physics-based interpretation of images of pigmented skin lesions. Med. Image Anal. 7, 489\u2013502 (2003)","journal-title":"Med. Image Anal."},{"key":"6_CR77","doi-asserted-by":"crossref","unstructured":"Buzug, T.M., Schumann, S., Pfaffmann, L., Reinhold, U., Ruhlmann, J.: Functional infrared imaging for skin-cancer screening, pp 2766\u20132769. IEEE (2006)","DOI":"10.1109\/IEMBS.2006.259895"},{"key":"6_CR78","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1136\/jms.6.1.42","volume":"6","author":"PC Edmondson","year":"1999","unstructured":"Edmondson, P.C., Curley, R.K., Marsden, R.A., Robinson, D., Allaway, S.L., Willson, C.D.: Screening for malignant melanoma using instant photography. J. Med. Screen. 6, 42\u201346 (1999). \nhttps:\/\/doi.org\/10.1136\/jms.6.1.42","journal-title":"J. Med. Screen."},{"key":"6_CR79","doi-asserted-by":"publisher","first-page":"706","DOI":"10.1111\/j.0007-0963.2004.05892.x","volume":"150","author":"NE Feit","year":"2004","unstructured":"Feit, N.E., Dusza, S.W., Marghoob, A.A.: Melanomas detected with the aid of total cutaneous photography. Br. J. Dermatol. 150, 706\u2013714 (2004). \nhttps:\/\/doi.org\/10.1111\/j.0007-0963.2004.05892.x","journal-title":"Br. J. Dermatol."},{"key":"6_CR80","doi-asserted-by":"publisher","first-page":"998","DOI":"10.1001\/archderm.141.8.998","volume":"141","author":"JP Banky","year":"2005","unstructured":"Banky, J.P., Kelly, J.W., English, D.R., Yeatman, J.M., Dowling, J.P.: Incidence of new and changed nevi and melanomas detected using baseline images and dermoscopy in patients at high risk for melanoma. Arch. Dermatol. 141, 998\u20131006 (2005). \nhttps:\/\/doi.org\/10.1001\/archderm.141.8.998","journal-title":"Arch. Dermatol."},{"key":"6_CR81","doi-asserted-by":"publisher","first-page":"1966","DOI":"10.1109\/TBME.2005.856301","volume":"52","author":"TK Lee","year":"2005","unstructured":"Lee, T.K., Atkins, M.S., King, M.A., Lau, S., McLean, D.I.: Counting moles automatically from back images. IEEE Trans. Biomed. Eng. 52, 1966\u20131969 (2005)","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"6_CR82","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1016\/j.jdermsci.2006.08.007","volume":"44","author":"R Wong","year":"2006","unstructured":"Wong, R., Tran, V., Talwalker, S., Benson, N.R.: Analysis of RNA recovery and gene expression in the epidermis using non-invasive tape stripping. J. Dermatol. Sci. 44, 81\u201392 (2006)","journal-title":"J. Dermatol. Sci."},{"key":"6_CR83","doi-asserted-by":"crossref","unstructured":"Rothberg, B.E.G., Brackenm M.B., Rimm, D.L.: Tissue biomarkers for prognosis in cutaneous melanoma: a systematic review and meta-analysis. J. Natl. Cancer Inst. (2009)","DOI":"10.1093\/jnci\/djp038"},{"key":"6_CR84","doi-asserted-by":"publisher","first-page":"1146","DOI":"10.1097\/PAS.0b013e3181a1ef36","volume":"33","author":"P Gerami","year":"2009","unstructured":"Gerami, P., Jewell, S.S., Morrison, L.E., Blondin, B., Schulz, J., Ruffalo, T., Matushek IV, P., Legator, M., Jacobson, K., Dalton, S.R.: Fluorescence in situ hybridization (FISH) as an ancillary diagnostic tool in the diagnosis of melanoma. Am. J. Surg. Pathol. 33, 1146\u20131156 (2009)","journal-title":"Am. J. Surg. Pathol."},{"key":"6_CR85","first-page":"100","volume":"100","author":"W Wachsman","year":"2007","unstructured":"Wachsman, W., Zapala, M., Udall, D., Paik, A., Hata, T., Walls, L., Wong, R., Schork, N., Chang, S.: Differentiation of melanoma from dysplastic nevi in suspicious pigmented skin lesions by non-invasive tape stripping. Training 100, 100 (2007)","journal-title":"Training"},{"key":"6_CR86","doi-asserted-by":"publisher","first-page":"797","DOI":"10.1111\/j.1365-2133.2011.10239.x","volume":"164","author":"W Wachsman","year":"2011","unstructured":"Wachsman, W., Morhenn, V., Palmer, T., Walls, L., Hata, T., Zalla, J., Scheinberg, R., Sofen, H., Mraz, S., Gross, K.: Noninvasive genomic detection of melanoma. Br. J. Dermatol. 164, 797\u2013806 (2011)","journal-title":"Br. J. Dermatol."},{"key":"6_CR87","doi-asserted-by":"publisher","first-page":"947","DOI":"10.5858\/arpa.2011-0330-OA","volume":"136","author":"WM Chandler","year":"2012","unstructured":"Chandler, W.M., Rowe, L.R., Florell, S.R., Jahromi, M.S., Schiffman, J.D., South, S.T.: Differentiation of malignant melanoma from benign nevus using a novel genomic microarray with low specimen requirements. Arch. Pathol. Lab. Med. 136, 947\u2013955 (2012)","journal-title":"Arch. Pathol. Lab. Med."},{"key":"6_CR88","doi-asserted-by":"publisher","first-page":"e49","DOI":"10.7717\/peerj.49","volume":"1","author":"W Liu","year":"2013","unstructured":"Liu, W., Peng, Y., Tobin, D.J.: A new 12-gene diagnostic biomarker signature of melanoma revealed by integrated microarray analysis. PeerJ 1, e49 (2013)","journal-title":"PeerJ"},{"key":"6_CR89","doi-asserted-by":"publisher","first-page":"5270","DOI":"10.1158\/0008-5472.CAN-04-0731","volume":"64","author":"K Hoek","year":"2004","unstructured":"Hoek, K., Rimm, D.L., Williams, K.R., Zhao, H., Ariyan, S., Lin, A., Kluger, H.M., Berger, A.J., Cheng, E., Trombetta, E.S.: Expression profiling reveals novel pathways in the transformation of melanocytes to melanomas. Can. Res. 64, 5270\u20135282 (2004)","journal-title":"Can. Res."},{"key":"6_CR90","doi-asserted-by":"publisher","first-page":"1018","DOI":"10.4161\/cbt.4.9.2165","volume":"4","author":"AP Smith","year":"2005","unstructured":"Smith, A.P., Hoek, K., Becker, D.: Whole-genome expression profiling of the melanoma progression pathway reveals marked molecular differences between nevi\/melanoma in situ and advanced-stage melanomas. Cancer Biol. Ther. 4, 1018\u20131029 (2005)","journal-title":"Cancer Biol. Ther."},{"key":"6_CR91","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1186\/1755-8794-1-13","volume":"1","author":"AI Riker","year":"2008","unstructured":"Riker, A.I., Enkemann, S.A., Fodstad, O., Liu, S., Ren, S., Morris, C., Xi, Y., Howell, P., Metge, B., Samant, R.S.: The gene expression profiles of primary and metastatic melanoma yields a transition point of tumor progression and metastasis. BMC Med. Genomics 1, 13 (2008)","journal-title":"BMC Med. Genomics"},{"key":"6_CR92","doi-asserted-by":"publisher","first-page":"1869","DOI":"10.1002\/ijc.24899","volume":"126","author":"M Scatolini","year":"2010","unstructured":"Scatolini, M., Grand, M.M., Grosso, E., Venesio, T., Pisacane, A., Balsamo, A., Sirovich, R., Risio, M., Chiorino, G.: Altered molecular pathways in melanocytic lesions. Int. J. Cancer 126, 1869\u20131881 (2010)","journal-title":"Int. J. Cancer"},{"key":"6_CR93","doi-asserted-by":"publisher","first-page":"2561","DOI":"10.1158\/0008-5472.CAN-10-2958","volume":"71","author":"AE Rose","year":"2011","unstructured":"Rose, A.E., Poliseno, L., Wang, J., Clark, M., Pearlman, A., Wang, G., Medicherla, R., Christos, P.J., Shapiro, R., Pavlick, A.: Integrative genomics identifies molecular alterations that challenge the linear model of melanoma progression. Can. Res. 71, 2561\u20132571 (2011)","journal-title":"Can. Res."},{"key":"6_CR94","doi-asserted-by":"publisher","first-page":"442","DOI":"10.1109\/TITB.2008.923144","volume":"13","author":"DK Iakovidis","year":"2009","unstructured":"Iakovidis, D.K., Pelekis, N., Kotsifakos, E.E., Kopanakis, I., Karanikas, H., Theodoridis, Y.: A pattern similarity scheme for medical image retrieval. IEEE Trans. Inf Technol. Biomed. 13, 442\u2013450 (2009)","journal-title":"IEEE Trans. Inf Technol. Biomed."},{"key":"6_CR95","doi-asserted-by":"publisher","first-page":"2626","DOI":"10.1093\/bioinformatics\/bth294","volume":"20","author":"GR Lanckriet","year":"2004","unstructured":"Lanckriet, G.R., De Bie, T., Cristianini, N., Jordan, M.I., Noble, W.S.: A statistical framework for genomic data fusion. Bioinformatics 20, 2626\u20132635 (2004)","journal-title":"Bioinformatics"},{"key":"6_CR96","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1111\/j.1365-2133.2008.08826.x","volume":"160","author":"F Cu\u00e9llar","year":"2009","unstructured":"Cu\u00e9llar, F., Puig, S., Kolm, I., Puig-Butille, J., Zaballos, P., Mart\u00ed-Laborda, R., Badenas, C., Malvehy, J.: Dermoscopic features of melanomas associated with MC1R variants in Spanish CDKN2A mutation carriers. Br. J. Dermatol. 160, 48\u201353 (2009). \nhttps:\/\/doi.org\/10.1111\/j.1365-2133.2008.08826.x","journal-title":"Br. J. Dermatol."},{"key":"6_CR97","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1111\/pcmr.12646","volume":"31","author":"MG Vallone","year":"2018","unstructured":"Vallone, M.G., Tell-Marti, G., Potrony, M., Rebollo-Morell, A., Badenas, C., Puig-Butille, J.A., Gimenez-Xavier, P., Carrera, C., Malvehy, J., Puig, S.: Melanocortin 1 receptor (MC1R) polymorphisms\u2019 influence on size and dermoscopic features of nevi. Pigment Cell Melanoma Res. 31, 39\u201350 (2018). \nhttps:\/\/doi.org\/10.1111\/pcmr.12646","journal-title":"Pigment Cell Melanoma Res."},{"key":"6_CR98","doi-asserted-by":"publisher","first-page":"351","DOI":"10.1001\/archderm.143.3.351","volume":"143","author":"I Zalaudek","year":"2007","unstructured":"Zalaudek, I., Argenziano, G., Mordente, I., Moscarella, E., Corona, R., Sera, F., Blum, A., Cabo, H., Di Stefani, A., Hofmann-Wellenhof, R., Johr, R., Langford, D., Malvehy, J., Kolm, I., Sgambato, A., Puig, S., Soyer, H.P., Kerl, H.: Nevus type in dermoscopy is related to skin type in white persons. Arch. Dermatol. 143, 351\u2013356 (2007). \nhttps:\/\/doi.org\/10.1001\/archderm.143.3.351","journal-title":"Arch. Dermatol."},{"key":"6_CR99","doi-asserted-by":"publisher","first-page":"329","DOI":"10.1148\/radiol.12120871","volume":"264","author":"CC Jaffe","year":"2012","unstructured":"Jaffe, C.C.: Imaging and genomics: is there a synergy? Radiology 264, 329\u2013331 (2012). \nhttps:\/\/doi.org\/10.1148\/radiol.12120871","journal-title":"Radiology"},{"key":"6_CR100","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s40484-016-0061-6","volume":"4","author":"A Katrib","year":"2016","unstructured":"Katrib, A., Hsu, W., Bui, A., Xing, Y.: \u201cRADIOTRANSCRIPTOMICS\u201d: a synergy of imaging and transcriptomics in clinical assessment. Quant. Biol. 4, 1\u201312 (2016). \nhttps:\/\/doi.org\/10.1007\/s40484-016-0061-6","journal-title":"Quant. Biol."},{"key":"6_CR101","doi-asserted-by":"publisher","first-page":"1479","DOI":"10.1109\/IEMBS.2004.1403455","volume":"2","author":"S Kor","year":"2004","unstructured":"Kor, S., Tiwary, U.: Feature level fusion of multimodal medical images in lifting wavelet transform domain. Conf. Proc. IEEE Eng. Med. Biol Soc. 2, 1479\u20131482 (2004). \nhttps:\/\/doi.org\/10.1109\/IEMBS.2004.1403455","journal-title":"Conf. Proc. IEEE Eng. Med. Biol Soc."},{"key":"6_CR102","doi-asserted-by":"publisher","first-page":"287","DOI":"10.1016\/j.compmedimag.2004.11.001","volume":"29","author":"SV Patwardhan","year":"2005","unstructured":"Patwardhan, S.V., Dai, S., Dhawan, A.P.: Multi-spectral image analysis and classification of melanoma using fuzzy membership based partitions. Comput. Med. Imaging Graph. 29, 287\u2013296 (2005). \nhttps:\/\/doi.org\/10.1016\/j.compmedimag.2004.11.001","journal-title":"Comput. Med. Imaging Graph."},{"key":"6_CR103","doi-asserted-by":"publisher","first-page":"472","DOI":"10.1093\/jnci\/djj103","volume":"98","author":"V Winnepenninckx","year":"2006","unstructured":"Winnepenninckx, V., Lazar, V., Michiels, S., Dessen, P., Stas, M., Alonso, S.R., Avril, M.F., Ortiz Romero, P.L., Robert, T., Balacescu, O., Eggermont, A.M., Lenoir, G., Sarasin, A., Tursz, T., van den Oord, J.J., Spatz, A.: Gene expression profiling of primary cutaneous melanoma and clinical outcome. J. Natl. Cancer Inst. 98, 472\u2013482 (2006). \nhttps:\/\/doi.org\/10.1093\/jnci\/djj103","journal-title":"J. Natl. Cancer Inst."},{"key":"6_CR104","doi-asserted-by":"crossref","unstructured":"Ye, J., Chen, K., Wu, T., Li, J., Zhao, Z., Patel, R., Bae, M., Janardan, R., Liu, H., Alexander, G.: Heterogeneous data fusion for Alzheimer\u2019s disease study, pp. 1025\u20131033. ACM (2008)","DOI":"10.1145\/1401890.1402012"},{"key":"6_CR105","doi-asserted-by":"publisher","first-page":"1413","DOI":"10.3892\/or.2012.1931","volume":"28","author":"V Metsis","year":"2012","unstructured":"Metsis, V., Huang, H., Andronesi, O.C., Makedon, F., Tzika, A.: Heterogeneous data fusion for brain tumor classification. Oncol. Rep. 28, 1413\u20131416 (2012). \nhttps:\/\/doi.org\/10.3892\/or.2012.1931","journal-title":"Oncol. Rep."},{"key":"6_CR106","doi-asserted-by":"publisher","first-page":"6987","DOI":"10.1158\/1078-0432.CCR-09-1777","volume":"15","author":"M Kashani-Sabet","year":"2009","unstructured":"Kashani-Sabet, M., Venna, S., Nosrati, M., Rangel, J., Sucker, A., Egberts, F., Baehner, F.L., Simko, J., Leong, S.P., Haqq, C.: A multimarker prognostic assay for primary cutaneous melanoma. Clin. Cancer Res. 15, 6987\u20136992 (2009)","journal-title":"Clin. Cancer Res."},{"key":"6_CR107","doi-asserted-by":"publisher","first-page":"1219","DOI":"10.1093\/bioinformatics\/btq108","volume":"26","author":"Y Li","year":"2010","unstructured":"Li, Y., Patra, J.C.: Genome-wide inferring gene\u2013phenotype relationship by walking on the heterogeneous network. Bioinformatics 26, 1219\u20131224 (2010)","journal-title":"Bioinformatics"},{"key":"6_CR108","doi-asserted-by":"publisher","first-page":"509","DOI":"10.1038\/jid.2012.283","volume":"133","author":"GJ Mann","year":"2013","unstructured":"Mann, G.J., Pupo, G.M., Campain, A.E., Carter, C.D., Schramm, S.-J., Pianova, S., Gerega, S.K., De Silva, C., Lai, K., Wilmott, J.S.: BRAF mutation, NRAS mutation, and the absence of an immune-related expressed gene profile predict poor outcome in patients with stage III melanoma. J. Investig. Dermatol. 133, 509\u2013517 (2013)","journal-title":"J. Investig. Dermatol."},{"key":"6_CR109","doi-asserted-by":"publisher","first-page":"e25451","DOI":"10.1371\/journal.pone.0025451","volume":"6","author":"PO Zinn","year":"2011","unstructured":"Zinn, P.O., Majadan, B., Sathyan, P., Singh, S.K., Majumder, S., Jolesz, F.A., Colen, R.R.: Radiogenomic mapping of edema\/cellular invasion MRI-phenotypes in glioblastoma multiforme. PLoS ONE 6, e25451 (2011). \nhttps:\/\/doi.org\/10.1371\/journal.pone.0025451","journal-title":"PLoS ONE"},{"key":"6_CR110","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1148\/radiol.13130078","volume":"270","author":"N Jamshidi","year":"2013","unstructured":"Jamshidi, N., Diehn, M., Bredel, M., Kuo, M.D.: Illuminating radiogenomic characteristics of glioblastoma multiforme through integration of MR imaging, messenger RNA expression, and DNA copy number variation. Radiology 270, 1\u20132 (2013). \nhttps:\/\/doi.org\/10.1148\/radiol.13130078","journal-title":"Radiology"},{"key":"6_CR111","doi-asserted-by":"publisher","first-page":"387","DOI":"10.1148\/radiol.12111607","volume":"264","author":"O Gevaert","year":"2012","unstructured":"Gevaert, O., Xu, J., Hoang, C.D., Leung, A.N., Xu, Y., Quon, A., Rubin, D.L., Napel, S., Plevritis, S.K.: Non-small cell lung cancer: identifying prognostic imaging biomarkers by leveraging public gene expression microarray data\u2014methods and preliminary results. Radiology 264, 387\u2013396 (2012). \nhttps:\/\/doi.org\/10.1148\/radiol.12111607","journal-title":"Radiology"},{"key":"6_CR112","doi-asserted-by":"publisher","first-page":"145243","DOI":"10.1155\/2014\/145243","volume":"2014","author":"K Moutselos","year":"2014","unstructured":"Moutselos, K., Maglogiannis, I., Chatziioannou, A.: Integration of high-volume molecular and imaging data for composite biomarker discovery in the study of melanoma. Biomed. Res. Int. 2014, 145243 (2014). \nhttps:\/\/doi.org\/10.1155\/2014\/145243","journal-title":"Biomed. Res. Int."},{"key":"6_CR113","doi-asserted-by":"publisher","first-page":"640","DOI":"10.1038\/modpathol.2016.237","volume":"30","author":"R Lazova","year":"2017","unstructured":"Lazova, R., Pornputtapong, N., Halaban, R., Bosenberg, M., Bai, Y., Chai, H., Krauthammer, M.: Spitz nevi and Spitzoid melanomas: exome sequencing and comparison with conventional melanocytic nevi and melanomas. Mod. Pathol. 30, 640\u2013649 (2017). \nhttps:\/\/doi.org\/10.1038\/modpathol.2016.237","journal-title":"Mod. Pathol."},{"key":"6_CR114","doi-asserted-by":"publisher","unstructured":"Hoadley, K.A., Yau, C., Wolf, D.M., Cherniack, A.D., Tamborero, D., Ng, S., Leiserson, M.D.M., Niu, B., McLellan, M.D., Uzunangelov, V., Zhang, J., Kandoth, C, Akbani, R., Shen, H., Omberg, L., Chu, A., Margolin, A.A., Van\u2019t Veer. L.J., Lopez-Bigas, N., Laird, P.W., Raphael, B.J., Ding, L., Robertson, A.G., Byers, L.A., Mills, G.B., Weinstein, J.N., Van Waes, C., Chen, Z., Collisson, E.A., Cancer Genome Atlas Research Network, Benz, C.C., Perou, C.M., Stuart, J.M.: Multiplatform analysis of 12 cancer types reveals molecular classification within and across tissues of origin. Cell 158:929\u2013944 (2014). \nhttps:\/\/doi.org\/10.1016\/j.cell.2014.06.049","DOI":"10.1016\/j.cell.2014.06.049"},{"key":"6_CR115","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1186\/s12859-016-1044-3","volume":"17","author":"I Kavakiotis","year":"2016","unstructured":"Kavakiotis, I., Xochelli, A., Agathangelidis, A., Tsoumakas, G., Maglaveras, N., Stamatopoulos, K., Hadzidimitriou, A., Vlahavas, I., Chouvarda, I.: Integrating multiple immunogenetic data sources for feature extraction and mining somatic hypermutation patterns: the case of \u201ctowards analysis\u201d in chronic lymphocytic leukaemia. BMC Bioinf. 17, 173 (2016). \nhttps:\/\/doi.org\/10.1186\/s12859-016-1044-3","journal-title":"BMC Bioinf."},{"key":"6_CR116","doi-asserted-by":"crossref","unstructured":"Przyby\u0142a-Kasperek, M., Nowak-Brzezi\u0144ska, A., Simi\u0144ski, R.: Decision fusion methods in a dispersed decision system\u2014a comparison on medical data. In: Nguyen, N.T., Papadopoulos, G.A., J\u0119drzejowicz, P., Trawi\u0144ski, B., Vossen, G. (eds.) Computational Collective Intelligence, pp. 139\u2013149. Springer International Publishing (2017)","DOI":"10.1007\/978-3-319-67077-5_14"},{"key":"6_CR117","doi-asserted-by":"publisher","first-page":"837","DOI":"10.1109\/10.312091","volume":"41","author":"F Ercal","year":"1994","unstructured":"Ercal, F., Chawla, A., Stoecker, W.V., Lee, H.-C., Moss, R.H.: Neural network diagnosis of malignant melanoma from color images. IEEE Trans. Biomed. Eng. 41, 837\u2013845 (1994)","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"6_CR118","doi-asserted-by":"publisher","first-page":"576","DOI":"10.1002\/ijc.10620","volume":"101","author":"P Rubegni","year":"2002","unstructured":"Rubegni, P., Cevenini, G., Burroni, M., Perotti, R., Dell\u2019Eva, G., Sbano, P., Miracco, C., Luzi, P., Tosi, P., Barbini, P.: Automated diagnosis of pigmented skin lesions. Int. J. Cancer 101, 576\u2013580 (2002)","journal-title":"Int. J. Cancer"},{"key":"6_CR119","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1007\/978-94-007-5389-1_4","volume-title":"Color Medical Image Analysis","author":"L Ballerini","year":"2013","unstructured":"Ballerini, L., Fisher, R.B., Aldridge, B., Rees, J.: A color and texture based hierarchical K-NN approach to the classification of non-melanoma skin lesions. In: Celebi, M.E., Schaefer, G. (eds.) Color Medical Image Analysis, pp. 63\u201386. Springer, Netherlands, Dordrecht (2013)"},{"key":"6_CR120","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1016\/j.artmed.2012.08.002","volume":"56","author":"K Korotkov","year":"2012","unstructured":"Korotkov, K., Garcia, R.: Computerized analysis of pigmented skin lesions: a review. Artif. Intell. Med. 56, 69\u201390 (2012)","journal-title":"Artif. Intell. Med."},{"key":"6_CR121","doi-asserted-by":"crossref","unstructured":"Valavanis, I., Maglogiannis, I., Chatziioannou, A.: Exploring robust diagnostic signatures for cutaneous melanoma utilizing genetic and imaging data. IEEE J. Biomed. Health Inf. 190\u2013198 (2015)","DOI":"10.1109\/JBHI.2014.2336617"}],"container-title":["Studies in Computational Intelligence","Advanced Computational Intelligence in Healthcare-7"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-662-61114-2_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,3,24]],"date-time":"2020-03-24T01:09:14Z","timestamp":1585012154000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-662-61114-2_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783662611128","9783662611142"],"references-count":121,"URL":"https:\/\/doi.org\/10.1007\/978-3-662-61114-2_6","relation":{},"ISSN":["1860-949X","1860-9503"],"issn-type":[{"type":"print","value":"1860-949X"},{"type":"electronic","value":"1860-9503"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"24 March 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}