{"id":"https://openalex.org/W2952107529","doi":"https://doi.org/10.1109/access.2019.2921815","title":"Dense-Residual Network With Adversarial Learning for Skin Lesion Segmentation","display_name":"Dense-Residual Network With Adversarial Learning for Skin Lesion Segmentation","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2952107529","doi":"https://doi.org/10.1109/access.2019.2921815","mag":"2952107529"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2921815","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2921815","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08733792.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":null,"license_id":null,"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/ielx7/6287639/8600701/08733792.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089363768","display_name":"Wenli Tu","orcid":null},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenli Tu","raw_affiliation_strings":["College of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100409053","display_name":"Xiaoming Liu","orcid":"https://orcid.org/0000-0003-3467-5607"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoming Liu","raw_affiliation_strings":["College of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-3467-5607","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101882780","display_name":"Wei Hu","orcid":"https://orcid.org/0000-0003-1204-8880"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Hu","raw_affiliation_strings":["College of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088316353","display_name":"Zhifang Pan","orcid":"https://orcid.org/0000-0002-3683-6657"},"institutions":[{"id":"https://openalex.org/I27781120","display_name":"Wenzhou Medical University","ror":"https://ror.org/00rd5t069","country_code":"CN","type":"education","lineage":["https://openalex.org/I27781120"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhifang Pan","raw_affiliation_strings":["Information Technology Center, Wenzhou Medical University, Wenzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Technology Center, Wenzhou Medical University, Wenzhou, China","institution_ids":["https://openalex.org/I27781120"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.2981,"has_fulltext":true,"cited_by_count":39,"citation_normalized_percentile":{"value":0.89870669,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"77037","last_page":"77051"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.965399980545044,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11306","display_name":"Nonmelanoma Skin Cancer Studies","score":0.9412000179290771,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/jaccard-index","display_name":"Jaccard index","score":0.817969024181366},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7390108108520508},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7307072281837463},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6836349964141846},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5304654836654663},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5213198065757751},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.49971771240234375},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4637746214866638},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.45572227239608765},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42236456274986267},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35661229491233826},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20653986930847168}],"concepts":[{"id":"https://openalex.org/C203519979","wikidata":"https://www.wikidata.org/wiki/Q865360","display_name":"Jaccard index","level":3,"score":0.817969024181366},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7390108108520508},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7307072281837463},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6836349964141846},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5304654836654663},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5213198065757751},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.49971771240234375},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4637746214866638},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.45572227239608765},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42236456274986267},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35661229491233826},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20653986930847168},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2921815","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2921815","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08733792.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a9e91eb6124544d5954b9481409c9167","is_oa":true,"landing_page_url":"https://doaj.org/article/a9e91eb6124544d5954b9481409c9167","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 7, Pp 77037-77051 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2921815","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2921815","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08733792.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":null,"license_id":null,"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/G1858552708","display_name":null,"funder_award_id":"D20181103","funder_id":"https://openalex.org/F4320313620","funder_display_name":"Hubei Provincial Department of Education"},{"id":"https://openalex.org/G4250105374","display_name":null,"funder_award_id":"2018ZG016","funder_id":"https://openalex.org/F4320324224","funder_display_name":"Wenzhou Municipal Science and Technology Bureau"},{"id":"https://openalex.org/G6157207813","display_name":null,"funder_award_id":"61403287","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7384739227","display_name":"\u57fa\u4e8eDNA\u5206\u5b50\u81ea\u7ec4\u88c5\u6280\u672f\u7684DNA\u6838\u9178\u7f16\u7801\u8bbe\u8ba1\u7814\u7a76","funder_award_id":"61472293","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8537566754","display_name":"\u57fa\u4e8e\u9886\u57df\u9002\u5e94\u6d41\u5f62\u5ea6\u91cf\u5b66\u4e60\u7684\u65e0\u7ea6\u675f\u4eba\u8138\u8bc6\u522b\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61572381","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320313620","display_name":"Hubei Provincial Department of Education","ror":"https://ror.org/05yaa9j15"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324224","display_name":"Wenzhou Municipal Science and Technology Bureau","ror":"https://ror.org/02fr0s482"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2952107529.pdf","grobid_xml":"https://content.openalex.org/works/W2952107529.grobid-xml"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W1745334888","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1971560637","https://openalex.org/W1996828958","https://openalex.org/W2022508996","https://openalex.org/W2078187356","https://openalex.org/W2086553782","https://openalex.org/W2118863192","https://openalex.org/W2139478903","https://openalex.org/W2139888281","https://openalex.org/W2142259554","https://openalex.org/W2143612262","https://openalex.org/W2148587254","https://openalex.org/W2153400129","https://openalex.org/W2157082243","https://openalex.org/W2162515926","https://openalex.org/W2179352600","https://openalex.org/W2194775991","https://openalex.org/W2344328023","https://openalex.org/W2344858100","https://openalex.org/W2412782625","https://openalex.org/W2500776971","https://openalex.org/W2517954747","https://openalex.org/W2521757541","https://openalex.org/W2526842628","https://openalex.org/W2554423077","https://openalex.org/W2559597482","https://openalex.org/W2581082771","https://openalex.org/W2592160412","https://openalex.org/W2594970829","https://openalex.org/W2597394795","https://openalex.org/W2598666589","https://openalex.org/W2607363228","https://openalex.org/W2622064152","https://openalex.org/W2759138913","https://openalex.org/W2883235649","https://openalex.org/W2885668531","https://openalex.org/W2890418174","https://openalex.org/W2890692913","https://openalex.org/W2897945370","https://openalex.org/W2905660188","https://openalex.org/W2963037989","https://openalex.org/W2963062226","https://openalex.org/W2963196212","https://openalex.org/W2963446712","https://openalex.org/W2963946669","https://openalex.org/W3098722327","https://openalex.org/W3101639073","https://openalex.org/W4320013936","https://openalex.org/W6639824700","https://openalex.org/W6729856380","https://openalex.org/W6734329474","https://openalex.org/W6734752668","https://openalex.org/W6748542959","https://openalex.org/W6755666796","https://openalex.org/W6779669310"],"related_works":["https://openalex.org/W4254879869","https://openalex.org/W3022576529","https://openalex.org/W2628526247","https://openalex.org/W2596401011","https://openalex.org/W2913569734","https://openalex.org/W4401519790","https://openalex.org/W2702570413","https://openalex.org/W3127229356","https://openalex.org/W2901284887","https://openalex.org/W2294604808"],"abstract_inverted_index":{"Skin":[0],"lesion":[1,26,143],"segmentation":[2,52,63,92],"in":[3,10,105,138],"dermoscopic":[4],"images":[5,15],"is":[6,99,174],"a":[7,46,84,148,153],"challenging":[8],"task":[9],"the":[11,19,25,28,35,39,51,58,62,68,73,109,121,128,135,181],"domain":[12],"of":[13,18,24,30,38,53,108,130],"medical":[14],"analysis":[16],"because":[17],"irregular":[20],"and":[21,27,115,133,161,183],"blurring":[22],"edges":[23],"presence":[29],"various":[31],"artifacts.":[32],"Inspired":[33],"by":[34],"successful":[36],"applications":[37],"generative":[40],"adversarial":[41,60],"network":[42,49,64,74],"(GAN),":[43],"we":[44],"propose":[45],"new":[47],"neural":[48],"for":[50,141],"skin":[54,142],"lesion.":[55],"Different":[56],"from":[57],"traditional":[59],"network,":[61],"uses":[65],"encoder-decoder":[66],"with":[67],"dense-residual":[69],"block":[70],"which":[71],"enables":[72],"to":[75,90,101,176],"be":[76],"trained":[77],"more":[78],"efficiently.":[79],"It":[80,125],"can":[81,126],"also":[82],"establish":[83],"direct":[85],"relationship":[86],"between":[87],"adjacent":[88],"pixels":[89],"improve":[91],"accuracy.":[93],"A":[94],"multi-scale":[95,154],"objective":[96,155],"loss":[97,123,150,156,165],"function":[98,151],"used":[100],"utilize":[102],"deep":[103],"supervision":[104],"multiple":[106],"layers":[107],"critic":[110],"network.":[111],"End":[112],"point":[113,159],"error":[114],"Jaccard":[116,162],"distance":[117,163],"are":[118],"combined":[119],"as":[120],"content":[122,164],"function.":[124,166],"solve":[127,134],"problem":[129],"boundary":[131],"ambiguity":[132],"lesion-background":[136],"imbalance":[137],"pixel-level":[139],"classification":[140],"segmentation.":[144],"We":[145],"finally":[146],"use":[147],"joint":[149],"including":[152],"function,":[157],"end":[158],"error,":[160],"The":[167],"experiment":[168],"results":[169],"show":[170],"that":[171],"our":[172],"algorithm":[173],"superior":[175],"other":[177],"state-of-the-art":[178],"algorithms":[179],"on":[180],"ISBI2017":[182],"PH2":[184],"datasets.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
