{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,27]],"date-time":"2026-06-27T07:49:38Z","timestamp":1782546578329,"version":"3.54.5"},"publisher-location":"Cham","reference-count":36,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031843556","type":"print"},{"value":"9783031843563","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-84356-3_17","type":"book-chapter","created":{"date-parts":[[2025,2,25]],"date-time":"2025-02-25T13:46:15Z","timestamp":1740491175000},"page":"201-211","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Evaluation of Dermatological Asymmetry Measure of Shape by Expectation-Maximization"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8947-2407","authenticated-orcid":false,"given":"\u0141ukasz","family":"W\u0105s","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9622-9341","authenticated-orcid":false,"given":"S\u0142awomir","family":"Wiak","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0095-6796","authenticated-orcid":false,"given":"Piotr","family":"Milczarski","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8053-2896","authenticated-orcid":false,"given":"\u0141ukasz","family":"Szyma\u0144ski","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,2,17]]},"reference":[{"key":"17_CR1","unstructured":"ACS \u2013 American Cancer Society. https:\/\/www.cancer.org\/research\/cancer-facts-statistics.html"},{"issue":"9","key":"17_CR2","doi-asserted-by":"publisher","first-page":"679","DOI":"10.1067\/mjd.2003.281","volume":"48","author":"G Argenziano","year":"2003","unstructured":"Argenziano, G., et al.: Dermoscopy of pigmented skin lesions: results of a consensus meeting via the Internet. J. Am. Acad. Dermatol. 48(9), 679\u2013693 (2003)","journal-title":"J. Am. Acad. Dermatol."},{"issue":"7","key":"17_CR3","doi-asserted-by":"publisher","first-page":"798","DOI":"10.1001\/jamadermatol.2016.0624","volume":"152","author":"C Carrera","year":"2016","unstructured":"Carrera, C., Marchetti, M.A., Dusza, S.W., Argenziano, G., et al.: Validity and reliability of dermoscopic criteria used to differentiate nevi from melanoma: a web-based international dermoscopy society study. JAMA Dermatol. 152(7), 798\u2013806 (2016)","journal-title":"JAMA Dermatol."},{"key":"17_CR4","unstructured":"European Cancer Information System (ECIS). https:\/\/ecis.jrc.ec.europa.eu"},{"key":"17_CR5","doi-asserted-by":"crossref","unstructured":"Milczarski, P., Stawska, Z., Maslanka, P.: Skin lesions dermatological shape asymmetry measures. In: Proceedings of the IEEE 9th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS, pp. 1056\u20131062 (2017)","DOI":"10.1109\/IDAACS.2017.8095247"},{"key":"17_CR6","doi-asserted-by":"crossref","unstructured":"Was, L., Milczarski, P., Stawska, Z., et al.: Analysis of skin diseases using segmentation and color hue in reference to melanocytic lesions. In: LNCS 10245, pp. 677\u2013689. Springer, Heidelberg (2017)","DOI":"10.1007\/978-3-319-59063-9_61"},{"issue":"1","key":"17_CR7","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1159\/000075042","volume":"208","author":"HP Soyer","year":"2004","unstructured":"Soyer, H.P., et al.: Three-point checklist of dermoscopy. A new screening method for early detection of melanoma. Dermatology 208(1), 27\u201331 (2004)","journal-title":"Dermatology"},{"key":"17_CR8","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."},{"issue":"3","key":"17_CR9","doi-asserted-by":"publisher","first-page":"965","DOI":"10.1109\/JSYST.2013.2271540","volume":"8","author":"C Barata","year":"2014","unstructured":"Barata, C., Ruela, M., Francisco, M., Mendon\u00e7a, T., Marques, J.S.: Two systems for the detection of melanomas in dermoscopy images using texture and color features. IEEE Syst. J. 8(3), 965\u2013979 (2014)","journal-title":"IEEE Syst. J."},{"key":"17_CR10","doi-asserted-by":"crossref","unstructured":"Jain, S., Jagtap, V., Pise, N.: Computer aided melanoma skin cancer detection using image processing. Procedia Comput. Sci. 48, 735\u2013740 (2015)","DOI":"10.1016\/j.procs.2015.04.209"},{"key":"17_CR11","doi-asserted-by":"crossref","unstructured":"Sumithra, R., Suhil, M., Guru, D.S.: Segmentation and classification of skin lesions for disease. Procedia Comput. Sci. 45, 76\u201385 (2015)","DOI":"10.1016\/j.procs.2015.03.090"},{"key":"17_CR12","doi-asserted-by":"crossref","unstructured":"Dalila, F., Zohra, A., Reda, K., Hocine, C.: Segmentation and classification of melanoma and benign. Optik 140, 749\u2013761 (2017)","DOI":"10.1016\/j.ijleo.2017.04.084"},{"key":"17_CR13","doi-asserted-by":"crossref","unstructured":"Ng, V.T., Fung, B.Y., Lee, T.K.: Determining the asymmetry of skin lesion with fuzzy borders. Comput. Biol. Med. 35, 103\u2013120 (2005)","DOI":"10.1016\/j.compbiomed.2003.11.004"},{"key":"17_CR14","doi-asserted-by":"crossref","unstructured":"Ramlakhan, K., Shang, Y.: A mobile automated skin lesion classification system. In: ICTAI, 23rd IEEE International Conference on Tools with Artificial Intelligence, pp. 138\u2013141 (2011)","DOI":"10.1109\/ICTAI.2011.29"},{"key":"17_CR15","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1016\/0031-3203(78)90025-0","volume":"10","author":"H Blum","year":"1978","unstructured":"Blum, H., Nagel, R.N.: Shape description using weighted symmetric axis features. Pattern Recogn. 10, 167\u2013180 (1978)","journal-title":"Pattern Recogn."},{"issue":"3","key":"17_CR16","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1177\/027836498400300302","volume":"3","author":"M Brady","year":"1984","unstructured":"Brady, M., Asada, H.: Smoothed local symmetries and their implementation. Int. J. Robot. Res. 3(3), 36\u201361 (1984)","journal-title":"Int. J. Robot. Res."},{"issue":"5\u20136","key":"17_CR17","doi-asserted-by":"publisher","first-page":"337","DOI":"10.1016\/S0262-8856(98)00133-4","volume":"17","author":"ADJ Cross","year":"1999","unstructured":"Cross, A.D.J., Hancock, E.R.: Scale space vector fields for symmetry detection. Image Vision Comput. 17(5\u20136), 337\u2013345 (1999)","journal-title":"Image Vision Comput."},{"key":"17_CR18","unstructured":"Manmatha, R., Sawhney, H.: Finding symmetry in intensity images. Technical report (1997)"},{"key":"17_CR19","doi-asserted-by":"crossref","unstructured":"Lowe, D.G.: Object recognition from local scale-invariant features. In: Proceedings of International Conference on Computer Vision, vol. 2, pp. 1150\u20131157 (1999)","DOI":"10.1109\/ICCV.1999.790410"},{"key":"17_CR20","doi-asserted-by":"crossref","unstructured":"Shen, D., Ip, H., Cheung, K.T., Teoh, E.K.: Symmetry detection by generalized complex moments: a close-form solution. IEEE Pattern Anal. Mach. Intell. 21(5) (1999)","DOI":"10.1109\/34.765657"},{"key":"17_CR21","doi-asserted-by":"publisher","first-page":"283","DOI":"10.1016\/S0262-8856(00)00077-9","volume":"19","author":"D Shen","year":"2001","unstructured":"Shen, D., Ip, H., Teoh, E.K.: An energy of as symmetry for accurate detection of global reflexion axes. Image Vis. Comput. 19, 283\u2013297 (2001)","journal-title":"Image Vis. Comput."},{"key":"17_CR22","doi-asserted-by":"publisher","first-page":"839","DOI":"10.1016\/j.patcog.2006.04.013","volume":"40","author":"B Zavidovique","year":"2007","unstructured":"Zavidovique, B., Di Ges\u00f9, V.: The S-kernel: Ameasure of symmetry of objects. Pattern Recogn. 40, 839\u2013852 (2007)","journal-title":"Pattern Recogn."},{"key":"17_CR23","unstructured":"Milczarski, P., Stawska, Z., Was, L., Wiak, S., Kot, M.: New dermatological asymmetry measure of skin lesions. Int. J. Neural Netw. Adv. Appl. Prague, 32\u201338 (2017)"},{"issue":"2","key":"17_CR24","first-page":"7","volume":"6","author":"DAG Hern\u00e1ndez","year":"2016","unstructured":"Hern\u00e1ndez, D.A.G., Santiago-Montero, R.: Border and Asymmetry measuring of skin lesion for diagnostic of melanoma using a perimeter ratio. Asian J. Comput. Sci. Inf. Technol. 6(2), 7\u201313 (2016)","journal-title":"Asian J. Comput. Sci. Inf. Technol."},{"key":"17_CR25","doi-asserted-by":"crossref","unstructured":"Milczarski, P.: Symmetry of hue distribution in the images. In: Artificial Intelligence and Soft Computing ICAISC 2018, pp. 48\u201361 (2018)","DOI":"10.1007\/978-3-319-91262-2_5"},{"issue":"3","key":"17_CR26","doi-asserted-by":"publisher","first-page":"591","DOI":"10.1111\/j.1365-2133.2009.09093.x","volume":"161","author":"SM Rajpara","year":"2009","unstructured":"Rajpara, S.M., Botello, A.P., Townend, J., Ormerod, A.D.: Systematic review of dermoscopy and digital dermoscopy\/artificial intelligence for the diagnosis of melanoma. Br. J. Dermatol. 161(3), 591\u2013604 (2009)","journal-title":"Br. J. Dermatol."},{"key":"17_CR27","unstructured":"Satheesha, T.D., Sathya-Narayana, D., Giriprasad, M.: Review on early detection of melanoma. Proc. Int. J. Adv. Technol. Eng. Res. 2(4), 80\u201390 (2012)"},{"issue":"5","key":"17_CR28","doi-asserted-by":"publisher","first-page":"503","DOI":"10.1007\/s11517-012-0895-7","volume":"50","author":"Z Liu","year":"2012","unstructured":"Liu, Z., Sun, J., Smith, L., Smith, M., Warr, R.: Distribution quantification on dermoscopy images for computer-assisted diagnosis of cutaneous melanomas. Med. Biol. Eng. Compu. 50(5), 503\u2013513 (2012)","journal-title":"Med. Biol. Eng. Compu."},{"key":"17_CR29","doi-asserted-by":"crossref","unstructured":"Sirakov, N.M., Mete, M., Chakrader, N.S.: Automatic boundary detection and symmetry calculation in dermoscopy images of skin lesions. In: 18th IEEE International Conference on Image Processing, Brussels, pp. 1605\u20131608 (2011)","DOI":"10.1109\/ICIP.2011.6115757"},{"issue":"7","key":"17_CR30","first-page":"482","volume":"41","author":"C Rosendahl","year":"2012","unstructured":"Rosendahl, C., Cameron, A., McColl, I., Wilkinson, D.: Dermatoscopy in routine practice: \u2018Chaos and Clues.\u2019 Aust. Fam. Phys. 41(7), 482\u2013487 (2012)","journal-title":"Aust. Fam. Phys."},{"key":"17_CR31","unstructured":"Soyer, H.P., Argenziano, G., Hofmann-Wellenhof, R., Zalaudek, I.: Dermoscopy: The Essentials, 2nd edn. Saunders Ltd. (2011)"},{"key":"17_CR32","first-page":"521","volume":"4","author":"W Stolz","year":"1994","unstructured":"Stolz, W., et al.: ABCD rule of dermatoscopy: a new practical method for early recognition of malignant melanoma. Eur. J. Dermatol. 4, 521\u2013527 (1994)","journal-title":"Eur. J. Dermatol."},{"key":"17_CR33","doi-asserted-by":"crossref","unstructured":"Mendoncca, T., Ferreira, P.M., Marques, J.S., Marcal, A.R.S., Rozeira, J.: PH2 \u2013 a dermoscopic image database for research and benchmarking. In: 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Osaka, pp. 5437\u20135440 (2013)","DOI":"10.1109\/EMBC.2013.6610779"},{"key":"17_CR34","volume-title":"Interactive Atlas of Dermoscopy","author":"G Argenziano","year":"2000","unstructured":"Argenziano, G., et al.: Interactive Atlas of Dermoscopy. Edra Medical Publishing & New Media, Milan (2000)"},{"key":"17_CR35","unstructured":"The International Skin Imaging Collaboration: Melanoma Project. http:\/\/isdis.net\/isic-project"},{"key":"17_CR36","unstructured":"Harrington, P.: Machine Learning in Action. Manning Publications (2012)"}],"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\/978-3-031-84356-3_17","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,25]],"date-time":"2025-02-25T13:51:08Z","timestamp":1740491468000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-84356-3_17"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031843556","9783031843563"],"references-count":36,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-84356-3_17","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"17 February 2025","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":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 June 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 June 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icaisc2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icaisc.eu\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}