{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T14:55:04Z","timestamp":1777992904409,"version":"3.51.4"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"University POLITEHNICA of Bucharest"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.3028248","type":"journal-article","created":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T20:13:37Z","timestamp":1601583217000},"page":"179189-179202","source":"Crossref","is-referenced-by-count":42,"title":["Melanoma Detection Using an Objective System Based on Multiple Connected Neural Networks"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7465-3958","authenticated-orcid":false,"given":"Loretta","family":"Ichim","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1883-0091","authenticated-orcid":false,"given":"Dan","family":"Popescu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICARCV.2018.8581130"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00330"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.3390\/s20061753"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.3390\/electronics8060672"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.2196\/11936"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-04212-7_59"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2002.1017623"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/0031-3203(95)00067-4"},{"key":"ref10","first-page":"2672","article-title":"Generative adversarial nets","volume":"2","author":"goodfellow","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref40","year":"2020","journal-title":"MathWorks"},{"key":"ref11","year":"2020","journal-title":"ISIC Database"},{"key":"ref12","first-page":"5437","article-title":"PH2—A dermoscopic image database for research and benchmarking","author":"mendonca","year":"2013","journal-title":"Proc 35th Annu Int Conf IEEE Eng Med Biol Soc (EMBC)"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.14257\/ijsip.2016.9.9.18"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/S0010-4825(97)00020-6"},{"key":"ref15","first-page":"1","article-title":"Image processing for skin cancer features extraction","volume":"4","author":"bhuiyan","year":"2013","journal-title":"Int J Sci Eng Res"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2018.08.006"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2012.2192349"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2016.7899656"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3390\/s18020556"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TIPTEKNO47231.2019.8972045"},{"key":"ref4","article-title":"An overview of melanoma detection in dermoscopy images using image processing and machine learning","author":"mishra","year":"2016","journal-title":"arXiv 1601 07843"},{"key":"ref27","first-page":"52","article-title":"Skin cancer using ResNet","volume":"8","author":"gouda","year":"2020","journal-title":"Am J Compt Sci Inform Technol"},{"key":"ref3","first-page":"381","article-title":"Early detection and treatment of skin cancer","volume":"62","author":"jerant","year":"2000","journal-title":"Amer Family Physician"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1111\/j.1524-4725.2010.01589.x"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0217293"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/S1470-2045(02)00679-4"},{"key":"ref8","first-page":"456","article-title":"An improved segmentation approach for skin lesion classification","volume":"7","author":"filali","year":"2019","journal-title":"Statist Optim Inf Comput"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejca.2019.05.023"},{"key":"ref2","year":"2020","journal-title":"Ultraviolet (UV) Radiation and Skin Cancer"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-020-09865-y"},{"key":"ref1","year":"2020","journal-title":"2020 Melanoma Skin Cancer Report"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-019-7717-y"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/S0190-9622(94)70061-3"},{"key":"ref21","first-page":"2826","article-title":"Skin lesion image segmentation based on adversarial networks","volume":"12","author":"wang","year":"2018","journal-title":"KSII Trans Internet Inf Syst"},{"key":"ref42","doi-asserted-by":"crossref","first-page":"72","DOI":"10.3390\/diagnostics9030072","article-title":"Skin lesion segmentation in dermoscopic images with combination of YOLO and GrabCut algorithm","volume":"9","author":"\u00fcnver","year":"2019","journal-title":"Diagnostics"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICSTCC.2018.8540732"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2960504"},{"key":"ref23","first-page":"15","article-title":"The ABCDEF rule: Combining the ‘ABCDE rule’ and the ‘ugly duckling sign’ in an effort to improve patient self-screening examinations","volume":"8","author":"jensen","year":"2015","journal-title":"J Clin Aesthet Dermatol"},{"key":"ref26","year":"2020","journal-title":"Image"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.7717\/peerj-cs.268"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.tice.2019.04.009"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09210626.pdf?arnumber=9210626","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:56:20Z","timestamp":1639770980000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9210626\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":43,"URL":"https:\/\/doi.org\/10.1109\/access.2020.3028248","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}