{"id":"https://openalex.org/W4387121754","doi":"https://doi.org/10.1145/3613307.3613308","title":"Skin Lesion Classification Based on Involution Neural Networks with Triplet++ Attention Generator","display_name":"Skin Lesion Classification Based on Involution Neural Networks with Triplet++ Attention Generator","publication_year":2023,"publication_date":"2023-07-21","ids":{"openalex":"https://openalex.org/W4387121754","doi":"https://doi.org/10.1145/3613307.3613308"},"language":"en","primary_location":{"id":"doi:10.1145/3613307.3613308","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3613307.3613308","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3613307.3613308","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 8th International Conference on Biomedical Signal and Image Processing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3613307.3613308","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102938466","display_name":"Wenhang Ou","orcid":"https://orcid.org/0009-0005-4857-7858"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Wenhang Ou","raw_affiliation_strings":["Graduate School of Information, Production and Systems, Waseda University, Japan"],"raw_orcid":"https://orcid.org/0009-0005-4857-7858","affiliations":[{"raw_affiliation_string":"Graduate School of Information, Production and Systems, Waseda University, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066452160","display_name":"Sei\u2010ichiro Kamata","orcid":"https://orcid.org/0000-0002-1496-2417"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Sei-Ichiro Kamata","raw_affiliation_strings":["Graduate School of Information, Production and Systems, Waseda University, Japan"],"raw_orcid":"https://orcid.org/0000-0002-1496-2417","affiliations":[{"raw_affiliation_string":"Graduate School of Information, Production and Systems, Waseda University, Japan","institution_ids":["https://openalex.org/I150744194"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I150744194"],"apc_list":null,"apc_paid":null,"fwci":1.0081,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.77929293,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T11306","display_name":"Nonmelanoma Skin Cancer Studies","score":0.984499990940094,"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":0.973800003528595,"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/involution","display_name":"Involution (esoterism)","score":0.7036858797073364},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.687933087348938},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6748173236846924},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.639171838760376},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.608088493347168},{"id":"https://openalex.org/keywords/skin-lesion","display_name":"Skin lesion","score":0.5437785387039185},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4930407702922821},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4694755971431732},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.4677101969718933},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44891270995140076},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4135000705718994},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.184711754322052},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.17373228073120117},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12133881449699402},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.08854430913925171}],"concepts":[{"id":"https://openalex.org/C2781409172","wikidata":"https://www.wikidata.org/wiki/Q17056802","display_name":"Involution (esoterism)","level":3,"score":0.7036858797073364},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.687933087348938},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6748173236846924},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.639171838760376},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.608088493347168},{"id":"https://openalex.org/C2988168687","wikidata":"https://www.wikidata.org/wiki/Q949302","display_name":"Skin lesion","level":2,"score":0.5437785387039185},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4930407702922821},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4694755971431732},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.4677101969718933},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44891270995140076},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4135000705718994},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.184711754322052},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.17373228073120117},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12133881449699402},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.08854430913925171},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C186720457","wikidata":"https://www.wikidata.org/wiki/Q7087","display_name":"Consciousness","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3613307.3613308","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3613307.3613308","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3613307.3613308","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 8th International Conference on Biomedical Signal and Image Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3613307.3613308","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3613307.3613308","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3613307.3613308","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 8th International Conference on Biomedical Signal and Image Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387121754.pdf","grobid_xml":"https://content.openalex.org/works/W4387121754.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1966570239","https://openalex.org/W2040600853","https://openalex.org/W2097117768","https://openalex.org/W2108598243","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2752782242","https://openalex.org/W2884585870","https://openalex.org/W2963946669","https://openalex.org/W2964350391","https://openalex.org/W2982083293","https://openalex.org/W3011885901","https://openalex.org/W3085719542","https://openalex.org/W3119205652","https://openalex.org/W3128797821","https://openalex.org/W3162961310","https://openalex.org/W3177052299","https://openalex.org/W3177349073","https://openalex.org/W3204882321","https://openalex.org/W4210806418","https://openalex.org/W4285152660"],"related_works":["https://openalex.org/W2074310945","https://openalex.org/W2066496012","https://openalex.org/W2040758449","https://openalex.org/W2073650139","https://openalex.org/W2072825479","https://openalex.org/W2030559736","https://openalex.org/W2105113130","https://openalex.org/W2397945614","https://openalex.org/W2324759634","https://openalex.org/W2798743422"],"abstract_inverted_index":{"Skin":[0],"is":[1],"the":[2,6,16,44,47,52,99,121,128,157,163,173],"biggest":[3],"organ":[4],"in":[5,31,86,103,165,172,188],"human":[7],"body":[8],"that":[9],"protects":[10],"us":[11],"from":[12,25],"hurt":[13],"and":[14,54,59,108,123,134],"supports":[15],"function":[17],"of":[18,80,91,105,130],"material":[19],"exchange.":[20],"Most":[21],"skin":[22,26,37],"cancers":[23],"develop":[24],"lesions":[27],"which":[28],"cannot":[29],"avoid":[30],"our":[32,160,180],"daily":[33],"life.":[34],"To":[35],"diagnose":[36],"cancer,":[38],"now":[39],"we":[40,114,139],"still":[41],"rely":[42],"on":[43,95,120],"traditional":[45],"method,":[46,159],"doctor\u2019s":[48],"vision":[49],"examination.":[50],"Since":[51],"unstable":[53],"high":[55],"misdiagnosis":[56],"rate,":[57],"more":[58,60],"researchers":[61],"are":[62,77,93],"trying":[63],"to":[64,69,83,126,143,156,170,191],"use":[65],"deep":[66,100],"learning":[67,101],"methods":[68],"assist":[70],"dermatologists":[71],"or":[72],"even":[73],"automatic":[74],"diagnosis.":[75],"There":[76],"a":[78,116,141,185],"lot":[79],"works":[81],"related":[82],"this":[84,112],"topic":[85],"recent":[87],"years.":[88],"However,":[89],"most":[90],"them":[92],"based":[94,119],"convolution.":[96],"Convolution":[97],"limits":[98],"model":[102,145,161],"awareness":[104],"spatial":[106,131],"differences":[107],"global":[109,135],"information.":[110],"In":[111,176],"circumstance,":[113],"proposed":[115,181],"new":[117],"network":[118],"involution":[122],"Triplet++":[124],"Attention":[125],"enhance":[127],"ability":[129],"information":[132,136],"extraction":[133],"extraction.":[137],"Also,":[138],"find":[140],"way":[142],"improve":[144],"performance":[146,164],"by":[147,167],"slowing":[148],"down":[149],"attention":[150],"compression":[151],"without":[152],"extra":[153],"parameters.":[154],"Compared":[155],"state-of-the-art":[158],"improved":[162],"accuracy":[166,189],"2.91":[168],"up":[169,190],"99.4":[171],"HAM10000":[174],"dataset.":[175],"another":[177],"dataset":[178],"PH2,":[179],"method":[182],"also":[183],"gets":[184],"comparable":[186],"result":[187],"96.67.":[192]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}
