{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T17:38:29Z","timestamp":1743097109394,"version":"3.40.3"},"publisher-location":"Cham","reference-count":39,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319590622"},{"type":"electronic","value":"9783319590639"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","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":[[2017]]},"DOI":"10.1007\/978-3-319-59063-9_16","type":"book-chapter","created":{"date-parts":[[2017,5,26]],"date-time":"2017-05-26T15:47:16Z","timestamp":1495813636000},"page":"175-186","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Resolution Invariant Neural Classifiers for Dermoscopy Images of Melanoma"],"prefix":"10.1007","author":[{"given":"Grzegorz","family":"Sur\u00f3wka","sequence":"first","affiliation":[]},{"given":"Maciej","family":"Ogorza\u0142ek","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,5,27]]},"reference":[{"issue":"2","key":"16_CR1","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(2), 69 (2012)","journal-title":"Artif. Intell. Med."},{"issue":"7","key":"16_CR2","first-page":"323268","volume":"2013","author":"A Masood","year":"2013","unstructured":"Masood, A., Al-Jumaily, A.: Computer aided diagnostic support system for skin cancer: a review of techniques and algorithms. Int. J. Biomed. Imaging 2013(7), 323268 (2013)","journal-title":"Int. J. Biomed. Imaging"},{"key":"16_CR3","doi-asserted-by":"crossref","unstructured":"Oliveira, R.B., Papa, J.P., Pereira, A.S., Tavares, J.: Computational methods for pigmented skin lesion classification in images: review and future trends. Neural Comput. Appl. 1\u201324 (2016)","DOI":"10.1007\/s00521-016-2482-6"},{"key":"16_CR4","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1001\/archderm.141.2.155","volume":"141","author":"H Skvara","year":"2005","unstructured":"Skvara, H., Teban, L., Fiebiger, M., Binder, M., Kittler, H.: Limitations of dermoscopy in the recognition of Melanoma. Arch Dermatol. 141, 155\u2013160 (2005)","journal-title":"Arch Dermatol."},{"issue":"1","key":"16_CR5","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1053\/sder.2003.50001","volume":"22","author":"W Stolz","year":"2003","unstructured":"Stolz, W., Semmelmayer, U., Johow, K., Burgdorf, W.H.C.: Principles of dermatoscopy of pigmented skin lesions. Semin. Cutan. Med. Surg. 22(1), 9\u201320 (2003)","journal-title":"Semin. Cutan. Med. Surg."},{"key":"16_CR6","first-page":"240247","volume":"20","author":"RH Johr","year":"2002","unstructured":"Johr, R.H.: Dermatoscopy: alternative melanocytic algorithms - the ABCD rule of dermatoscopy, menzies scoring method, and 7-point checklist. Clin. Dermatol. 20, 240247 (2002)","journal-title":"Clin. Dermatol."},{"issue":"3","key":"16_CR7","doi-asserted-by":"publisher","first-page":"467","DOI":"10.1067\/mjd.2000.107504","volume":"43","author":"H Kittler","year":"2000","unstructured":"Kittler, H., Pehamberger, H., Wolff, K., Binder, M.: Follow-up of melanocytic skin lesions with digital epiluminescence microscopy: patterns of modifications observed in early melanoma, atypical nevi, and common nevi. J. Am. Acad. Dermatol. 43(3), 467\u2013476 (2000)","journal-title":"J. Am. Acad. Dermatol."},{"issue":"5","key":"16_CR8","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(5), 719\u2013735 (2009)","journal-title":"J. Am. Acad. Dermatol."},{"issue":"4","key":"16_CR9","doi-asserted-by":"publisher","first-page":"429","DOI":"10.1109\/83.242353","volume":"2","author":"T Chang","year":"1993","unstructured":"Chang, T., Kuo, C.C.J.: Texture analysis and classification with tree-structured wavelet transform. IEEE Trans. Image Process. 2(4), 429\u2013441 (1993)","journal-title":"IEEE Trans. Image Process."},{"key":"16_CR10","doi-asserted-by":"publisher","first-page":"710","DOI":"10.1109\/34.142909","volume":"14","author":"S Mallat","year":"1992","unstructured":"Mallat, S., Zhong, S.: Characterization of signals from multiscale edges. IEEE Trans. Pattern Anal. Mach. Intell. 14, 710\u2013732 (1992)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"16_CR11","doi-asserted-by":"crossref","unstructured":"Mahmoud, K.A., Al-Jumaily, A., Takruri, M.: The automatic identification od melanoma by wavelet and curvelet analysis: study based on neural network classification. In: 11th International Conference on Hybrid Intelligent Systems 2011, pp. 680\u2013685 (2011)","DOI":"10.1109\/HIS.2011.6122188"},{"key":"16_CR12","unstructured":"Aswin, R.B., Jaleel, J.A., Salim, S.: Implementation of ANN classifier using MATLAB for skin cancer detection. In: ICMiC13, pp. 87\u201394 (2013)"},{"issue":"9","key":"16_CR13","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., Moss, R.H.: Neural network diagnosis of malignant melanoma from color images. IEEE Trans. Biomed. Eng. 41(9), 837\u2013845 (1994)","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"16_CR14","doi-asserted-by":"publisher","first-page":"2836","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, 2836 (2001)","journal-title":"J. Biomed. Inform."},{"key":"16_CR15","doi-asserted-by":"publisher","first-page":"471","DOI":"10.1046\/j.1523-1747.2002.01835.x","volume":"119","author":"P Rubegni","year":"2002","unstructured":"Rubegni, P., Burroni, M., Cevenini, G., Perotti, R., Dell\u2019Eva, G., Barbini, P., Fimiani, M., Andreassi, L.: Digital dermoscopy analysis and artificial neural network for the differentiation of clinically atypical pigmented skin lesions: a retrospective study. J. Invest. Dermatol. 119, 471\u2013474 (2002)","journal-title":"J. Invest. Dermatol."},{"key":"16_CR16","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1016\/S0895-6111(03)00054-5","volume":"28","author":"MI Rajab","year":"2004","unstructured":"Rajab, M.I., Woolfson, M.S., Morgan, S.P.: Application of region-based segmentation and neural network edge detection to skin lesions. Comput. Med. Imaging Graph. 28, 61\u201368 (2004)","journal-title":"Comput. Med. Imaging Graph."},{"key":"16_CR17","doi-asserted-by":"crossref","unstructured":"Lau, H.T., Al-Jumaily, A.: automatically early detection of skin cancer: study based on neural network classification. In: International Conference of Soft Computing and Pattern Recognition IEEE, pp. 375\u2013380 (2009)","DOI":"10.1109\/SoCPaR.2009.80"},{"issue":"11","key":"16_CR18","first-page":"1159","volume":"8","author":"GS Vennila","year":"2012","unstructured":"Vennila, G.S., Suresh, L.P., Shunmuganathan, K.L.: Dermoscopic image segmentation and classification using machine learning algorithms. Am. J. Appl. Sci. 8(11), 1159 (2012)","journal-title":"Am. J. Appl. Sci."},{"key":"16_CR19","doi-asserted-by":"crossref","unstructured":"Jaleel, J.A., Salim, S., Aswin, R.B.: Computer aided detection of skin cancer, circuits. In: International Conference onPower and Computing Technologies (ICCPCT) (2013)","DOI":"10.1109\/ICCPCT.2013.6528879"},{"issue":"3","key":"16_CR20","first-page":"287","volume":"4","author":"M Elgamal","year":"2013","unstructured":"Elgamal, M.: Automatic skin cancer images classification. Int. J. Adv. Comput. Sci. Appl. 4(3), 287\u2013294 (2013)","journal-title":"Int. J. Adv. Comput. Sci. Appl."},{"key":"16_CR21","doi-asserted-by":"publisher","unstructured":"Silva, C.S., Marcal, A.R.S.: Colour-based dermoscopy classification of cutaneous lesions: an alternative approach (2013). doi:10.1080\/21681163.2013.803683","DOI":"10.1080\/21681163.2013.803683"},{"key":"16_CR22","unstructured":"Achakanalli, S., Sadashivappa, G.: Skin cancer detection and diagnosis using image processing and implementation using neural networks and ABCD parameters (2014)"},{"key":"16_CR23","doi-asserted-by":"publisher","first-page":"15217","DOI":"10.1016\/j.eswa.2011.05.079","volume":"38","author":"D Ruiz","year":"2011","unstructured":"Ruiz, D., Berenguer, V., Soriano, A., Sanchez, B.: A decision support system for the diagnosis of melanoma: a comparative approach. Expert Syst. Appl. 38, 15217\u201315223 (2011)","journal-title":"Expert Syst. Appl."},{"issue":"Spec no. 4","key":"16_CR24","first-page":"1027","volume":"15","author":"I Maglogiannis","year":"2006","unstructured":"Maglogiannis, I., Kosmopoulos, D.: Computational vision systems for the detection of malignant melanoma. Oncol. Rep. 15(Spec no. 4), 1027\u20131032 (2006)","journal-title":"Oncol. Rep."},{"key":"16_CR25","doi-asserted-by":"publisher","first-page":"435","DOI":"10.1007\/978-1-4939-2172-0_29","volume":"1256","author":"C Doukas","year":"2015","unstructured":"Doukas, C., Stagkopoulos, P., Maglogiannis, I.: Skin lesions image analysis utilizing smartphones and cloud platforms. Methods Mol. Biol. 1256, 435\u2013458 (2015)","journal-title":"Methods Mol. Biol."},{"issue":"177","key":"16_CR26","first-page":"1","volume":"39","author":"ME Filho","year":"2015","unstructured":"Filho, M.E., Ma, Z., Tavares, J.: A review of the quantification and classification of pigmented skin lesions: from dedicated to hand-held devices. J. Med. Syst. 39(177), 1\u201312 (2015)","journal-title":"J. Med. Syst."},{"issue":"6","key":"16_CR27","doi-asserted-by":"publisher","first-page":"1507","DOI":"10.1111\/bjd.13665","volume":"172","author":"AP Kassianos","year":"2015","unstructured":"Kassianos, A.P., Emery, J.D., Murchie, P., Walter, F.: Smartphone applications for melanoma detection by 55community, patient and generalist clinician users: A review. Br. J. Dermatol. 172(6), 1507\u20131518 (2015)","journal-title":"Br. J. Dermatol."},{"key":"16_CR28","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"655","DOI":"10.1007\/978-3-319-39378-0_56","volume-title":"Artificial Intelligence and Soft Computing","author":"G Sur\u00f3wka","year":"2016","unstructured":"Sur\u00f3wka, G., Ogorza\u0142ek, M.: On optimal wavelet bases for classification of melanoma images through ensemble learning. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2016. LNCS, vol. 9692, pp. 655\u2013666. Springer, Cham (2016). doi:10.1007\/978-3-319-39378-0_56"},{"key":"16_CR29","doi-asserted-by":"publisher","first-page":"1263","DOI":"10.1109\/TKDE.2008.239","volume":"21","author":"H He","year":"2009","unstructured":"He, H., Garcia, E.A.: Learning from imbalanced data. IEEE Trans. Knowl. Data Eng. 21, 1263 (2009)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"16_CR30","first-page":"1356","volume":"26","author":"S Wang","year":"2014","unstructured":"Wang, S., Minku, L.L., Yao, X.: Resampling-based ensemble methods for online class imbalance learning. IEEE Trans. Knowl. Data Eng. 26, 1356 (2014)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"7","key":"16_CR31","doi-asserted-by":"publisher","first-page":"674","DOI":"10.1109\/34.192463","volume":"11","author":"SG Mallat","year":"1989","unstructured":"Mallat, S.G.: A theory for multiresolution signal decomposition: the wavelet representation. IEEE Trans. Pattern Anal. Mach. Intell. 11(7), 674 (1989)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"16_CR32","doi-asserted-by":"publisher","first-page":"287296","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, 287296 (2005)","journal-title":"Comput. Med. Imaging Graph."},{"issue":"4","key":"16_CR33","first-page":"43","volume":"2","author":"G Sur\u00f3wka","year":"2006","unstructured":"Sur\u00f3wka, G., Merkwirth, C., \u017babi\u0144ska-P\u0142azak, E., Graca, A.: Wavelet based classification of skin lesion images. Bio Alg. Med Syst. 2(4), 43\u201349 (2006)","journal-title":"Bio Alg. Med Syst."},{"key":"16_CR34","first-page":"37","volume-title":"Data Classification: Algorithms and Applications","author":"J Tang","year":"2014","unstructured":"Tang, J., Alelyani, S., Liu, H.: Feature selection for classification: a review. In: Aggarwal, C.C. (ed.) Data Classification: Algorithms and Applications, pp. 37\u201364. CRC Press, Boca Raton (2014)"},{"issue":"5","key":"16_CR35","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. Techn. Biomed. 13(5), 721\u2013733 (2009)","journal-title":"IEEE Trans. Inf. Techn. Biomed."},{"key":"16_CR36","volume-title":"Neural Networks: A Comprehensive Foundation","author":"S Haykin","year":"1998","unstructured":"Haykin, S.: Neural Networks: A Comprehensive Foundation, 2nd edn. Prentice Hall, Englewood Cliffs (1998). ISBN 0-13-273350-1","edition":"2"},{"key":"16_CR37","unstructured":"Hagan, M.T., Demuth, H.B., Beale, M.H., De Jesus, O.: Neural Network Design, 2nd edn., ISBN-10: 0\u20139717321-1-6, ISBN-13: 978-0-9717321-1-7"},{"issue":"2","key":"16_CR38","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1162\/neco.1992.4.2.141","volume":"4","author":"R Battiti","year":"1992","unstructured":"Battiti, R.: First- and second-order methods for learning: between steepest descent and newton\u2019s method. Neural Comput. 4(2), 141 (1992)","journal-title":"Neural Comput."},{"issue":"2","key":"16_CR39","first-page":"627","volume":"4","author":"K Hajian-Tilaki","year":"2013","unstructured":"Hajian-Tilaki, K.: Receiver operating characteristic (ROC) curve analysis for medical diagnostic test evaluation. Caspian J. Intern. Med. 4(2), 627\u2013635 (2013)","journal-title":"Caspian J. Intern. Med."}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence and Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-59063-9_16","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T11:15:06Z","timestamp":1709810106000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-59063-9_16"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319590622","9783319590639"],"references-count":39,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-59063-9_16","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"27 May 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICAISC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Artificial Intelligence and Soft Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Zakopane","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Poland","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 June 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 June 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icaisc2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.icaisc.eu\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}