{"id":"https://openalex.org/W4414054207","doi":"https://doi.org/10.1109/jbhi.2025.3606881","title":"Enhancing the Interpretation of Skin Lesion Diagnosis: Concept Adaptive Fine-Tuning of Vision-Language Models","display_name":"Enhancing the Interpretation of Skin Lesion Diagnosis: Concept Adaptive Fine-Tuning of Vision-Language Models","publication_year":2025,"publication_date":"2025-09-08","ids":{"openalex":"https://openalex.org/W4414054207","doi":"https://doi.org/10.1109/jbhi.2025.3606881","pmid":"https://pubmed.ncbi.nlm.nih.gov/40920523"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2025.3606881","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2025.3606881","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","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/A5112433786","display_name":"Yang Yang Zhu","orcid":"https://orcid.org/0009-0001-8508-4658"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yating Zhu","raw_affiliation_strings":["School of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0001-8508-4658","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100381793","display_name":"Xiaoyan Wang","orcid":"https://orcid.org/0000-0002-7651-7730"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyan Wang","raw_affiliation_strings":["School of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-7651-7730","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001999511","display_name":"Xiaojie Huang","orcid":"https://orcid.org/0000-0002-5045-9202"},"institutions":[{"id":"https://openalex.org/I4210158318","display_name":"Second Affiliated Hospital of Zhejiang University","ror":"https://ror.org/059cjpv64","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210158318"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojie Huang","raw_affiliation_strings":["Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I4210158318"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101560793","display_name":"Ming Xia","orcid":"https://orcid.org/0000-0002-8094-2203"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Xia","raw_affiliation_strings":["School of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-8094-2203","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006040955","display_name":"Pan Mu","orcid":"https://orcid.org/0000-0002-5330-2673"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pan Mu","raw_affiliation_strings":["School of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5330-2673","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011200256","display_name":"Haigen Hu","orcid":"https://orcid.org/0000-0001-5863-8283"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haigen Hu","raw_affiliation_strings":["School of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5863-8283","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107953459","display_name":"Xiaoqin Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqin Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4868,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.66481049,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"30","issue":"3","first_page":"2010","last_page":"2022"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.7419999837875366,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular 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"}},"topics":[{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.7419999837875366,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular 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"}}],"keywords":[{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.59579998254776},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5913000106811523},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5853999853134155},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.5181000232696533},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4569999873638153},{"id":"https://openalex.org/keywords/medical-diagnosis","display_name":"Medical diagnosis","score":0.3869999945163727},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.384799987077713},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.38440001010894775},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.36899998784065247}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7741000056266785},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7062000036239624},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6049000024795532},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.59579998254776},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5913000106811523},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5853999853134155},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.5181000232696533},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4569999873638153},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.3869999945163727},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.384799987077713},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.38440001010894775},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.36899998784065247},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35749998688697815},{"id":"https://openalex.org/C2988168687","wikidata":"https://www.wikidata.org/wiki/Q949302","display_name":"Skin lesion","level":2,"score":0.3366999924182892},{"id":"https://openalex.org/C13606891","wikidata":"https://www.wikidata.org/wiki/Q2623243","display_name":"Conceptual model","level":2,"score":0.31940001249313354},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.31049999594688416},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.3059000074863434},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.30059999227523804},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.288100004196167},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2628999948501587},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.26010000705718994},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.2565999925136566},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.25369998812675476},{"id":"https://openalex.org/C2983449737","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Clinical diagnosis","level":2,"score":0.2529999911785126},{"id":"https://openalex.org/C52970973","wikidata":"https://www.wikidata.org/wiki/Q2497134","display_name":"Adaptive system","level":2,"score":0.25060001015663147}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D012867","descriptor_name":"Skin","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D012867","descriptor_name":"Skin","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D012871","descriptor_name":"Skin Diseases","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D012871","descriptor_name":"Skin Diseases","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2025.3606881","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2025.3606881","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:40920523","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40920523","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 journal of biomedical and health informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3303316880","display_name":null,"funder_award_id":"62373324","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3469256619","display_name":"\u57fa\u4e8e\u5f31\u76d1\u7763\u5c42\u6b21\u5f0f\u591a\u4e3b\u9898\u5b66\u4e60\u7684\u5fc3\u8840\u7ba1\u75be\u75c5\u98ce\u9669\u9884\u6d4b\u6a21\u578b\u7814\u7a76","funder_award_id":"LY23F030007","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G5724040690","display_name":null,"funder_award_id":"2025C02160","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5905104076","display_name":null,"funder_award_id":"62273308","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G842149390","display_name":null,"funder_award_id":"62202429","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W2061253660","https://openalex.org/W2194775991","https://openalex.org/W2295107390","https://openalex.org/W2592929672","https://openalex.org/W2797527544","https://openalex.org/W2922510944","https://openalex.org/W2962858109","https://openalex.org/W3175183715","https://openalex.org/W3183198896","https://openalex.org/W3198377975","https://openalex.org/W3203829710","https://openalex.org/W3216710262","https://openalex.org/W4206161246","https://openalex.org/W4285097858","https://openalex.org/W4312310776","https://openalex.org/W4312533035","https://openalex.org/W4312749754","https://openalex.org/W4313175608","https://openalex.org/W4322625967","https://openalex.org/W4362602094","https://openalex.org/W4382372249","https://openalex.org/W4385800942","https://openalex.org/W4385804899","https://openalex.org/W4385805122","https://openalex.org/W4386065554","https://openalex.org/W4386075975","https://openalex.org/W4386566421","https://openalex.org/W4386790226","https://openalex.org/W4386858051","https://openalex.org/W4387199878","https://openalex.org/W4387225987","https://openalex.org/W4390480843","https://openalex.org/W4390873546","https://openalex.org/W4394597558","https://openalex.org/W4394832225","https://openalex.org/W4396494945","https://openalex.org/W4396598478","https://openalex.org/W4396609767","https://openalex.org/W4401753043","https://openalex.org/W4402703046","https://openalex.org/W4402727337","https://openalex.org/W4403069701"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Significant":[0],"progress":[1],"has":[2],"been":[3],"made":[4],"in":[5,26,218,252],"applying":[6],"deep":[7],"learning":[8,44],"for":[9,74],"the":[10,34,38,94,98,133,185,189,195,244,257],"automatic":[11],"diagnosis":[12,42,145],"of":[13,41,55,201,234,259],"skin":[14,143],"lesions.":[15],"However,":[16],"most":[17],"models":[18,32,217],"remain":[19],"unexplainable,":[20],"which":[21],"severely":[22],"hinders":[23],"their":[24],"application":[25],"clinical":[27],"settings.":[28],"Concept-based":[29],"ante-hoc":[30],"interpretable":[31,142,216],"have":[33],"potential":[35],"to":[36,82,106,112,116,137,191,194],"clarify":[37],"decision-making":[39],"process":[40],"by":[43,250],"high-level,":[45],"human-understandable":[46],"concepts,":[47],"while":[48],"they":[49],"can":[50,62,159],"only":[51],"provide":[52,164],"numerical":[53],"values":[54],"conceptual":[56,155],"contributions.":[57],"Pre-trained":[58],"Vision-Language":[59],"Models":[60],"(VLMs)":[61],"learn":[63],"rich":[64],"vision-language":[65],"correlations":[66],"from":[67],"large-scale":[68],"image-text":[69],"pairs.":[70],"Fine-tuning":[71],"pre-trained":[72,95,134],"VLMs":[73,115],"specific":[75],"downstream":[76],"tasks":[77],"is":[78,89],"an":[79],"effective":[80],"way":[81],"reduce":[83],"data":[84,111],"requirements.":[85],"Nevertheless,":[86],"when":[87],"there":[88],"a":[90,125,139,181,198,231,240],"substantial":[91,109],"disparity":[92],"between":[93],"model":[96,158,237,241],"and":[97,154,163,179,215,222],"target":[99],"task,":[100],"existing":[101],"tuning":[102],"methods":[103],"frequently":[104],"struggle":[105],"generalize,":[107],"necessitating":[108],"training":[110,202],"fully":[113],"adapt":[114,193],"specialized":[117],"medical":[118,149],"tasks.":[119],"In":[120,226],"this":[121],"work,":[122],"we":[123],"propose":[124],"concept":[126,177,253],"adaptive":[127],"fine-tuning":[128,229],"(CptAFT)":[129],"method":[130,172],"based":[131],"on":[132,243],"VLM,":[135],"BiomedCLIP,":[136],"develop":[138],"concept-based":[140],"multi-modal":[141],"lesion":[144],"model.":[146,261],"By":[147],"incorporating":[148],"texts,":[150],"such":[151],"as":[152],"reports":[153],"terms,":[156],"our":[157,170,209,236,260],"recognize":[160],"fine-grained":[161],"features":[162],"robust,":[165],"natural":[166],"language-driven":[167],"interpretability.":[168,225],"Moreover,":[169],"concept-adaptive":[171],"that":[173,208],"reconstructs":[174],"images":[175],"using":[176],"logits":[178],"imposes":[180],"consistency":[182],"loss":[183],"with":[184,197,230],"original":[186],"image,":[187],"enabling":[188],"VLM":[190],"quickly":[192],"task":[196],"small":[199,232],"amount":[200,233],"data.":[203],"Extensive":[204],"experimental":[205],"results":[206],"demonstrate":[207],"approach":[210],"outperforms":[211,238],"state-of-the-art":[212],"closed":[213],"box":[214],"both":[219],"classification":[220],"performance":[221],"medically":[223],"relevant":[224],"particular,":[227],"after":[228],"data,":[235],"MONET,":[239],"trained":[242],"large":[245],"Skin":[246],"Disease":[247],"Image-Report":[248],"dataset,":[249],"8.28%":[251],"recognition":[254],"ability,":[255],"demonstrating":[256],"interpretability":[258]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-13T07:31:44.756512","created_date":"2025-10-10T00:00:00"}
