{"id":"https://openalex.org/W3136139906","doi":"https://doi.org/10.1109/access.2021.3065701","title":"Unsupervised Feature Elimination via Generative Adversarial Networks: Application to Hair Removal in Melanoma Classification","display_name":"Unsupervised Feature Elimination via Generative Adversarial Networks: Application to Hair Removal in Melanoma Classification","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3136139906","doi":"https://doi.org/10.1109/access.2021.3065701","mag":"3136139906"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3065701","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3065701","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09376855.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09376855.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101614733","display_name":"Dahye Kim","orcid":"https://orcid.org/0000-0002-2241-3960"},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dahye Kim","raw_affiliation_strings":["School of Computer Science and Engineering, Chung-Ang University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Chung-Ang University, Seoul, South Korea","institution_ids":["https://openalex.org/I67900169"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065943331","display_name":"Byung\u2010Woo Hong","orcid":"https://orcid.org/0000-0003-2752-3939"},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Byung-Woo Hong","raw_affiliation_strings":["School of Computer Science and Engineering, Chung-Ang University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Chung-Ang University, Seoul, South Korea","institution_ids":["https://openalex.org/I67900169"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I67900169"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.3554,"has_fulltext":true,"cited_by_count":36,"citation_normalized_percentile":{"value":0.9033024,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"9","issue":null,"first_page":"42610","last_page":"42620"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11144","display_name":"melanin and skin pigmentation","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/1307","display_name":"Cell Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9843000173568726,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7166429162025452},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6370790600776672},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6212849020957947},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.613934338092804},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5887258648872375},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5858820676803589},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4616386592388153},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3365286588668823}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7166429162025452},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6370790600776672},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6212849020957947},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.613934338092804},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5887258648872375},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5858820676803589},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4616386592388153},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3365286588668823},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3065701","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3065701","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09376855.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:408b7197b34e48e4ae93ad901fa0db37","is_oa":true,"landing_page_url":"https://doaj.org/article/408b7197b34e48e4ae93ad901fa0db37","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 9, Pp 42610-42620 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3065701","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3065701","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09376855.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1089220611","display_name":null,"funder_award_id":"NRF-2019K1A3A1A77074958","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G1407564792","display_name":null,"funder_award_id":"NRF-2017R1A2B4006023","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G2535801665","display_name":null,"funder_award_id":"2019K1A3A1A77074958","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G6798899655","display_name":null,"funder_award_id":"2017R1A2B4006023","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G8100122055","display_name":null,"funder_award_id":"NRF-2019K1A3A1A77074958","funder_id":"https://openalex.org/F4320320671","funder_display_name":"National Research Foundation"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320321202","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3136139906.pdf","grobid_xml":"https://content.openalex.org/works/W3136139906.grobid-xml"},"referenced_works_count":89,"referenced_works":["https://openalex.org/W1978749115","https://openalex.org/W1987207115","https://openalex.org/W1991607872","https://openalex.org/W2023204574","https://openalex.org/W2027898483","https://openalex.org/W2028990532","https://openalex.org/W2048695508","https://openalex.org/W2056370875","https://openalex.org/W2058843488","https://openalex.org/W2078187356","https://openalex.org/W2097073572","https://openalex.org/W2099471712","https://openalex.org/W2106402996","https://openalex.org/W2114867966","https://openalex.org/W2121396509","https://openalex.org/W2128254161","https://openalex.org/W2154815154","https://openalex.org/W2160715448","https://openalex.org/W2170969730","https://openalex.org/W2194775991","https://openalex.org/W2209874411","https://openalex.org/W2256362396","https://openalex.org/W2466666260","https://openalex.org/W2508457857","https://openalex.org/W2509784253","https://openalex.org/W2519481857","https://openalex.org/W2536599074","https://openalex.org/W2539781702","https://openalex.org/W2549139847","https://openalex.org/W2559264300","https://openalex.org/W2584009249","https://openalex.org/W2593768305","https://openalex.org/W2617087439","https://openalex.org/W2617199345","https://openalex.org/W2617573776","https://openalex.org/W2740982616","https://openalex.org/W2743780012","https://openalex.org/W2764207251","https://openalex.org/W2777170053","https://openalex.org/W2779176852","https://openalex.org/W2789587241","https://openalex.org/W2790883954","https://openalex.org/W2794022343","https://openalex.org/W2798278116","https://openalex.org/W2806118840","https://openalex.org/W2807079708","https://openalex.org/W2883609492","https://openalex.org/W2887181327","https://openalex.org/W2890722964","https://openalex.org/W2893531431","https://openalex.org/W2913207340","https://openalex.org/W2916412824","https://openalex.org/W2945008339","https://openalex.org/W2953141406","https://openalex.org/W2955425717","https://openalex.org/W2962754725","https://openalex.org/W2962793481","https://openalex.org/W2962808524","https://openalex.org/W2963017889","https://openalex.org/W2963152299","https://openalex.org/W2963470893","https://openalex.org/W2963797156","https://openalex.org/W2963853763","https://openalex.org/W2968087827","https://openalex.org/W2970005485","https://openalex.org/W2970287290","https://openalex.org/W2970842755","https://openalex.org/W2979436723","https://openalex.org/W2979830539","https://openalex.org/W2990007814","https://openalex.org/W3029477994","https://openalex.org/W3043894081","https://openalex.org/W3048853714","https://openalex.org/W3091153441","https://openalex.org/W3092356216","https://openalex.org/W3093524551","https://openalex.org/W3100819185","https://openalex.org/W3104725225","https://openalex.org/W3109500538","https://openalex.org/W3121732873","https://openalex.org/W4320013936","https://openalex.org/W6683488002","https://openalex.org/W6738706147","https://openalex.org/W6746282794","https://openalex.org/W6759303722","https://openalex.org/W6762718338","https://openalex.org/W6780849396","https://openalex.org/W6781849992","https://openalex.org/W6787190139"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4310988119","https://openalex.org/W4285226279","https://openalex.org/W2619203976"],"abstract_inverted_index":{"Eliminating":[0],"the":[1,14,62,72,156,175,178,182,204,209,218,230,236],"undesirable":[2,11],"features":[3,12,162,180],"is":[4,77,99,212],"crucial":[5],"to":[6,79,146,214],"computer":[7],"vision":[8],"applications":[9,84],"since":[10],"degrade":[13],"visibility":[15],"of":[16,41,102,142,181,203,232],"images.":[17],"For":[18],"that":[19,208,222],"purpose,":[20],"denoising,":[21],"dehazing":[22],"and":[23,34,54,107,121,217],"deraining":[24],"have":[25],"been":[26],"actively":[27],"studied":[28],"in":[29,43,82,93],"both":[30],"traditional":[31],"model-based":[32],"approaches":[33],"modern":[35],"deep":[36],"learning":[37,159],"methods.":[38],"However,":[39,96],"elimination":[40],"hair":[42,57,98,119,133,145,161,215,225],"dermoscopic":[44,135],"images":[45,136,143],"has":[46],"not":[47],"received":[48],"sufficient":[49],"attention":[50],"despite":[51],"its":[52,103],"significance":[53],"potential.":[55],"Meanwhile,":[56],"removal":[58,120,226],"algorithms":[59],"remain":[60],"within":[61],"classical":[63],"morphological":[64],"methodologies,":[65],"while":[66],"only":[67],"a":[68,114,125,139,148,166,171],"few":[69],"attempts":[70],"apply":[71],"latest":[73],"data-driven":[74],"techniques.":[75],"Hair":[76],"desired":[78],"be":[80],"removed":[81],"dermoscopy":[83],"because":[85,101],"it":[86,123],"causes":[87],"undesired":[88],"effects":[89],"such":[90],"as":[91],"occlusions":[92],"lesion":[94],"areas.":[95],"removing":[97],"challenging":[100],"inherent":[104],"complex":[105],"structure":[106],"variations.":[108],"In":[109,155],"this":[110],"paper,":[111],"we":[112],"propose":[113],"new":[115],"unsupervised":[116],"algorithm":[117,211,227],"for":[118],"evaluate":[122],"on":[124,196],"real-world":[126],"melanoma":[127,233],"dataset.":[128],"The":[129,200],"proposed":[130,210],"method":[131],"eliminates":[132],"from":[134],"by":[137,186],"inducing":[138],"reconstructed":[140],"distribution":[141,150],"with":[144,165],"resemble":[147],"hairless":[149],"using":[151],"generative":[152,157],"adversarial":[153,158],"learning.":[154],"framework,":[160],"are":[163,184],"characterized":[164],"coarse-grained":[167],"label":[168],"simply":[169],"via":[170],"binary":[172],"classifier.":[173],"At":[174],"same":[176],"time,":[177],"important":[179],"lesions":[183],"preserved":[185],"minimizing":[187],"L":[188],"<sub":[189],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[190],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[191],"-norm":[192],"reconstruction":[193],"loss":[194],"based":[195],"Laplace":[197],"noise":[198],"assumption.":[199],"qualitative":[201],"evaluation":[202],"hair-removed":[205],"results":[206,220],"show":[207],"robust":[213],"variations,":[216],"quantitative":[219],"demonstrate":[221],"applying":[223],"our":[224],"considerably":[228],"improves":[229],"performance":[231],"classification,":[234],"outperforming":[235],"benchmarks.":[237]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}