{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T10:53:29Z","timestamp":1776077609387,"version":"3.50.1"},"reference-count":77,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Chung-Ang University Graduate Research Scholarship in 2019"},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["NRF-2017R1A2B4006023"],"award-info":[{"award-number":["NRF-2017R1A2B4006023"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["NRF-2019K1A3A1A77074958"],"award-info":[{"award-number":["NRF-2019K1A3A1A77074958"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3065701","type":"journal-article","created":{"date-parts":[[2021,3,12]],"date-time":"2021-03-12T20:44:28Z","timestamp":1615581868000},"page":"42610-42620","source":"Crossref","is-referenced-by-count":33,"title":["Unsupervised Feature Elimination via Generative Adversarial Networks: Application to Hair Removal in Melanoma Classification"],"prefix":"10.1109","volume":"9","author":[{"given":"Dahye","family":"Kim","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Byung-Woo","family":"Hong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1002\/mp.13458"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301865"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2020.3016058"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-018-1072-9"},{"key":"ref76","article-title":"A patient-centric dataset of images and metadata for identifying melanomas using clinical context","author":"rotemberg","year":"2020","journal-title":"arXiv 2008 07360"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2019.8803238"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32245-8_62"},{"key":"ref39","first-page":"174","article-title":"Learning to clean: A GAN perspective","author":"sharma","year":"2018","journal-title":"Proc Asian Conf Comput Vis"},{"key":"ref75","first-page":"2018","article-title":"Stabilizing training of generative adversarial networks through regularization","author":"roth","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref38","first-page":"1","article-title":"GAN-based noise model for denoising real images","author":"tran","year":"2020","journal-title":"Proc Asian Conf Comput Vis"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.511"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2598681"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00741"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2019.00151"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00333"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2019.2920407"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00343"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_10"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-018-6523-2"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2019.8803029"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.634"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.186"},{"key":"ref64","article-title":"EfficientNet: Rethinking model scaling for convolutional neural networks","author":"tan","year":"2019","journal-title":"arXiv 1905 11946"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2691802"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.316"},{"key":"ref66","first-page":"1989","article-title":"Cycada: Cycle-consistent adversarial domain adaptation","author":"hoffman","year":"2018","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240636"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.19"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.09.013"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2018.8363678"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1186\/s12885-018-4465-8"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1002\/jemt.23009"},{"key":"ref20","doi-asserted-by":"crossref","first-page":"2341","DOI":"10.1109\/TPAMI.2010.168","article-title":"Single image haze removal using dark channel prior","volume":"33","author":"he","year":"2011","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICIST.2012.6221729"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ISDEA.2010.141"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2839891"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2662206"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.84"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.183"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2013.6610250"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1111\/srt.12015"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-019-7717-y"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CBMS.2018.00086"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2020.105568"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2019.8857905"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2020.102224"},{"key":"ref54","article-title":"An encoder-decoder CNN for hair removal in dermoscopic images","author":"talavera-mart\u00ednez","year":"2020","journal-title":"arXiv 2010 05013"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-59758-4_37"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.18"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2009.5459476"},{"key":"ref11","first-page":"901","article-title":"Noise estimation from a single image","volume":"1","author":"liu","year":"2006","journal-title":"Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit (CVPR)"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2827462"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2011.2179057"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.388"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.299"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.276"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.apm.2018.03.001"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2708502"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/1360612.1360671"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2008.4587643"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.366"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-019-1413-3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2009.5459452"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2012.2235847"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2007.901238"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.38"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2012.08.002"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2012.6466947"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP40778.2020.9190833"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2019.8803316"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2009.01.003"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/S0010-4825(97)00020-6"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref41","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref44","article-title":"DerainCycleGAN: A simple unsupervised network for single image deraining and rainmaking","author":"wei","year":"2019","journal-title":"arXiv 1912 07015"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2934178"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09376855.pdf?arnumber=9376855","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:55:06Z","timestamp":1639770906000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9376855\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":77,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3065701","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}