{"id":"https://openalex.org/W4294690817","doi":"https://doi.org/10.1109/tmi.2022.3204646","title":"Toward Multicenter Skin Lesion Classification Using Deep Neural Network With Adaptively Weighted Balance Loss","display_name":"Toward Multicenter Skin Lesion Classification Using Deep Neural Network With Adaptively Weighted Balance Loss","publication_year":2022,"publication_date":"2022-09-05","ids":{"openalex":"https://openalex.org/W4294690817","doi":"https://doi.org/10.1109/tmi.2022.3204646","pmid":"https://pubmed.ncbi.nlm.nih.gov/36063522"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2022.3204646","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2022.3204646","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030883042","display_name":"Guanghui Yue","orcid":"https://orcid.org/0000-0002-6761-8767"},"institutions":[{"id":"https://openalex.org/I4210145292","display_name":"Shenzhen University Health Science Center","ror":"https://ror.org/04yjbr930","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210145292"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guanghui Yue","raw_affiliation_strings":["National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Health Science Center, School of Biomedical Engineering, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Health Science Center, School of Biomedical Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I4210145292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071201214","display_name":"Peishan Wei","orcid":"https://orcid.org/0000-0002-3668-792X"},"institutions":[{"id":"https://openalex.org/I4210145292","display_name":"Shenzhen University Health Science Center","ror":"https://ror.org/04yjbr930","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210145292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peishan Wei","raw_affiliation_strings":["National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Health Science Center, School of Biomedical Engineering, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Health Science Center, School of Biomedical Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I4210145292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024931596","display_name":"Tianwei Zhou","orcid":"https://orcid.org/0000-0003-3533-7204"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianwei Zhou","raw_affiliation_strings":["College of Management, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"College of Management, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000581688","display_name":"Qiuping Jiang","orcid":"https://orcid.org/0000-0002-6025-9343"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiuping Jiang","raw_affiliation_strings":["School of Information Science and Engineering, Ningbo University, Ningbo, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076122416","display_name":"Weiqing Yan","orcid":"https://orcid.org/0000-0001-7869-2404"},"institutions":[{"id":"https://openalex.org/I18452120","display_name":"Yantai University","ror":"https://ror.org/01rp41m56","country_code":"CN","type":"education","lineage":["https://openalex.org/I18452120"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiqing Yan","raw_affiliation_strings":["School of Computer and Control Engineering, Yantai University, Yantai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Control Engineering, Yantai University, Yantai, China","institution_ids":["https://openalex.org/I18452120"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046543349","display_name":"Tianfu Wang","orcid":"https://orcid.org/0000-0002-1248-1214"},"institutions":[{"id":"https://openalex.org/I4210145292","display_name":"Shenzhen University Health Science Center","ror":"https://ror.org/04yjbr930","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210145292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianfu Wang","raw_affiliation_strings":["National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Health Science Center, School of Biomedical Engineering, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Health Science Center, School of Biomedical Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I4210145292"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5030883042"],"corresponding_institution_ids":["https://openalex.org/I4210145292"],"apc_list":null,"apc_paid":null,"fwci":3.3488,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.94096507,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"42","issue":"1","first_page":"119","last_page":"131"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.9998999834060669,"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":0.9998999834060669,"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/T11306","display_name":"Nonmelanoma Skin Cancer Studies","score":0.9807000160217285,"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"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9613999724388123,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7610230445861816},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6093956828117371},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5733196139335632},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.5728940367698669},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5317282676696777},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49562227725982666},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.448175311088562},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4324060380458832},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35674381256103516}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7610230445861816},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6093956828117371},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5733196139335632},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.5728940367698669},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5317282676696777},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49562227725982666},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.448175311088562},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4324060380458832},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35674381256103516},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D012867","descriptor_name":"Skin","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D012867","descriptor_name":"Skin","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D012867","descriptor_name":"Skin","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2022.3204646","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2022.3204646","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:36063522","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36063522","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on medical imaging","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1475225348","display_name":null,"funder_award_id":"2019A1515110401","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G2138836450","display_name":null,"funder_award_id":"RCBS20200714114920379","funder_id":"https://openalex.org/F4320336569","funder_display_name":"Shenzhen Science and Technology Innovation Program"},{"id":"https://openalex.org/G2314270497","display_name":null,"funder_award_id":"62103286","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2816073044","display_name":null,"funder_award_id":"62071309","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6519355659","display_name":null,"funder_award_id":"2019A1515111205","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G6990224084","display_name":null,"funder_award_id":"JCYJ20190808145011259","funder_id":"https://openalex.org/F4320316880","funder_display_name":"Natural Science Foundation of Shenzhen City"},{"id":"https://openalex.org/G7571115851","display_name":null,"funder_award_id":"VRLAB2021C05","funder_id":"https://openalex.org/F4320326839","funder_display_name":"State Key Laboratory of Virtual Reality Technology and Systems"},{"id":"https://openalex.org/G7596383720","display_name":null,"funder_award_id":"62001302","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8679294037","display_name":null,"funder_award_id":"2021A1515011348","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320316880","display_name":"Natural Science Foundation of Shenzhen City","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320325571","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70"},{"id":"https://openalex.org/F4320326839","display_name":"State Key Laboratory of Virtual Reality Technology and Systems","ror":null},{"id":"https://openalex.org/F4320336569","display_name":"Shenzhen Science and Technology Innovation Program","ror":null},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W1564121197","https://openalex.org/W1686810756","https://openalex.org/W2026720263","https://openalex.org/W2038781708","https://openalex.org/W2049209034","https://openalex.org/W2118863192","https://openalex.org/W2142259554","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2526259914","https://openalex.org/W2531327146","https://openalex.org/W2581082771","https://openalex.org/W2591669284","https://openalex.org/W2607363228","https://openalex.org/W2607620597","https://openalex.org/W2618530766","https://openalex.org/W2751686900","https://openalex.org/W2752782242","https://openalex.org/W2794825826","https://openalex.org/W2808402517","https://openalex.org/W2888442043","https://openalex.org/W2914959431","https://openalex.org/W2936503027","https://openalex.org/W2943964494","https://openalex.org/W2963113370","https://openalex.org/W2963351448","https://openalex.org/W2963446712","https://openalex.org/W2963691377","https://openalex.org/W2964416181","https://openalex.org/W2969875432","https://openalex.org/W2972255615","https://openalex.org/W2973444944","https://openalex.org/W3006349040","https://openalex.org/W3008320599","https://openalex.org/W3019493961","https://openalex.org/W3028380273","https://openalex.org/W3035161717","https://openalex.org/W3036298167","https://openalex.org/W3082604781","https://openalex.org/W3090920939","https://openalex.org/W3102785203","https://openalex.org/W3103200644","https://openalex.org/W3119005666","https://openalex.org/W3120430728","https://openalex.org/W3136200549","https://openalex.org/W3158264953","https://openalex.org/W3165387463","https://openalex.org/W3189075232","https://openalex.org/W3200313969","https://openalex.org/W3200666120","https://openalex.org/W3202213316","https://openalex.org/W3204178249","https://openalex.org/W3206316397","https://openalex.org/W3207130253","https://openalex.org/W3207155226","https://openalex.org/W3210506295","https://openalex.org/W3215150387","https://openalex.org/W3216717225","https://openalex.org/W4205189720","https://openalex.org/W4224242326","https://openalex.org/W4225724636","https://openalex.org/W4289302938","https://openalex.org/W6637373629","https://openalex.org/W6728622933","https://openalex.org/W6755911615","https://openalex.org/W6760212179","https://openalex.org/W6766394743","https://openalex.org/W6774314701"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W4246352526","https://openalex.org/W2121910908","https://openalex.org/W915438175","https://openalex.org/W4380075502"],"abstract_inverted_index":{"Recently,":[0],"deep":[1],"neural":[2],"network-based":[3],"methods":[4],"have":[5,53],"shown":[6],"promising":[7],"advantages":[8],"in":[9,46,202],"accurately":[10],"recognizing":[11],"skin":[12,89,181],"lesions":[13],"from":[14,74,107],"dermoscopic":[15],"images.":[16],"However,":[17],"most":[18],"existing":[19],"works":[20],"focus":[21],"more":[22,149,171,174],"on":[23,137,188],"improving":[24],"the":[25,34,62,72,78,102,109,113,128,152,167,178,194,204,211],"network":[26],"framework":[27,75],"for":[28,61,87,176],"better":[29],"feature":[30],"representation":[31],"but":[32],"ignore":[33],"data":[35,55,79],"imbalance":[36,80],"issue,":[37],"limiting":[38],"their":[39],"flexibility":[40,64],"and":[41,65,82,139,147,173,210],"accuracy":[42],"across":[43],"multiple":[44],"scenarios":[45],"multi-center":[47,88,179],"clinics.":[48],"Generally,":[49],"different":[50,54,122],"clinical":[51],"centers":[52],"distributions,":[56],"which":[57],"presents":[58],"challenging":[59],"requirements":[60,124],"network's":[63],"accuracy.":[66],"In":[67,192],"this":[68],"paper,":[69],"we":[70],"divert":[71],"attention":[73,150],"improvement":[76],"to":[77,101,120,151,199],"issue":[81],"propose":[83],"a":[84,94],"new":[85],"solution":[86,111,169,196],"lesion":[90,182],"classification":[91,104,183,208],"by":[92,125],"introducing":[93],"novel":[95],"adaptively":[96,142],"weighted":[97],"balance":[98],"(AWB)":[99],"loss":[100,165],"conventional":[103],"network.":[105],"Benefiting":[106],"AWB,":[108],"proposed":[110,168,195],"has":[112],"following":[114],"advantages:":[115],"1)":[116],"it":[117,131,141],"is":[118,132,170,197,217],"easy":[119],"satisfy":[121],"practical":[123],"only":[126],"changing":[127],"backbone;":[129],"2)":[130],"user-friendly":[133],"with":[134,160,163,185],"no":[135],"tuning":[136],"hyperparameters;":[138],"3)":[140],"enables":[143],"small":[144],"intraclass":[145],"compactness":[146],"pays":[148],"minority":[153],"class.":[154],"Extensive":[155],"experiments":[156],"demonstrate":[157],"that,":[158],"compared":[159],"solutions":[161],"equipped":[162],"state-of-the-art":[164],"functions,":[166],"flexible":[172],"competent":[175],"tackling":[177],"imbalanced":[180,205,212],"task":[184,209],"considerable":[186],"performance":[187],"two":[189],"benchmark":[190],"datasets.":[191],"addition,":[193],"proved":[198],"be":[200],"effective":[201],"handling":[203],"gastrointestinal":[206],"disease":[207],"DR":[213],"grading":[214],"task.":[215],"Code":[216],"available":[218],"at":[219],"https://github.com/Weipeishan2021.":[220]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":5}],"updated_date":"2026-03-17T09:09:15.849793","created_date":"2025-10-10T00:00:00"}