{"id":"https://openalex.org/W4386065883","doi":"https://doi.org/10.1109/tce.2023.3301874","title":"FS3DCIoT: A Few-Shot Incremental Learning Network for Skin Disease Differential Diagnosis in the Consumer IoT","display_name":"FS3DCIoT: A Few-Shot Incremental Learning Network for Skin Disease Differential Diagnosis in the Consumer IoT","publication_year":2023,"publication_date":"2023-08-22","ids":{"openalex":"https://openalex.org/W4386065883","doi":"https://doi.org/10.1109/tce.2023.3301874"},"language":"en","primary_location":{"id":"doi:10.1109/tce.2023.3301874","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2023.3301874","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Consumer Electronics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"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/A5050556973","display_name":"Junsheng Xiao","orcid":"https://orcid.org/0000-0002-7781-856X"},"institutions":[{"id":"https://openalex.org/I4210155511","display_name":"First Affiliated Hospital of Henan University","ror":"https://ror.org/0536rsk67","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210155511"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junsheng Xiao","raw_affiliation_strings":["School of Information Technology, Henan University of Chinese Medicine, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-7781-856X","affiliations":[{"raw_affiliation_string":"School of Information Technology, Henan University of Chinese Medicine, Zhengzhou, China","institution_ids":["https://openalex.org/I4210155511"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024899870","display_name":"Jirui Li","orcid":"https://orcid.org/0000-0002-2177-772X"},"institutions":[{"id":"https://openalex.org/I4210155511","display_name":"First Affiliated Hospital of Henan University","ror":"https://ror.org/0536rsk67","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210155511"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jirui Li","raw_affiliation_strings":["School of Information Technology, Henan University of Chinese Medicine, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2177-772X","affiliations":[{"raw_affiliation_string":"School of Information Technology, Henan University of Chinese Medicine, Zhengzhou, China","institution_ids":["https://openalex.org/I4210155511"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087225784","display_name":"Honghao Gao","orcid":"https://orcid.org/0000-0001-6861-9684"},"institutions":[{"id":"https://openalex.org/I12832649","display_name":"Gachon University","ror":"https://ror.org/03ryywt80","country_code":"KR","type":"education","lineage":["https://openalex.org/I12832649"]},{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN","KR"],"is_corresponding":false,"raw_author_name":"Honghao Gao","raw_affiliation_strings":["School of Computer Engineering and Science, Shanghai University, Shanghai, China","College of Future Industry, Gachon University, Seongnam, Gyeonggi, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-6861-9684","affiliations":[{"raw_affiliation_string":"School of Computer Engineering and Science, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I141962983"]},{"raw_affiliation_string":"College of Future Industry, Gachon University, Seongnam, Gyeonggi, South Korea","institution_ids":["https://openalex.org/I12832649"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.1877,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.9692033,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"69","issue":"4","first_page":"786","last_page":"797"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.9990000128746033,"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":0.9990000128746033,"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/T10773","display_name":"Extracellular vesicles in disease","score":0.9350000023841858,"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"}},{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.92330002784729,"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":0.6962752342224121},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6300418376922607},{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.5431725978851318},{"id":"https://openalex.org/keywords/cad","display_name":"CAD","score":0.5380470752716064},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4621805250644684},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43354955315589905},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4242768883705139},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.356481671333313},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3355022072792053},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11324170231819153},{"id":"https://openalex.org/keywords/engineering-drawing","display_name":"Engineering drawing","score":0.09896177053451538}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6962752342224121},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6300418376922607},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.5431725978851318},{"id":"https://openalex.org/C194789388","wikidata":"https://www.wikidata.org/wiki/Q17855283","display_name":"CAD","level":2,"score":0.5380470752716064},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4621805250644684},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43354955315589905},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4242768883705139},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.356481671333313},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3355022072792053},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11324170231819153},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.09896177053451538},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tce.2023.3301874","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2023.3301874","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Consumer Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G670971573","display_name":null,"funder_award_id":"MP2023-10","funder_id":"https://openalex.org/F4320317526","funder_display_name":"Henan University of Chinese Medicine"}],"funders":[{"id":"https://openalex.org/F4320317526","display_name":"Henan University of Chinese Medicine","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1579705726","https://openalex.org/W1977544285","https://openalex.org/W2496011226","https://openalex.org/W2560647685","https://openalex.org/W2565989828","https://openalex.org/W2581082771","https://openalex.org/W2619383789","https://openalex.org/W2753863096","https://openalex.org/W2798261681","https://openalex.org/W2902625698","https://openalex.org/W2948171095","https://openalex.org/W2989893062","https://openalex.org/W3006349040","https://openalex.org/W3025011581","https://openalex.org/W3034519219","https://openalex.org/W3034988872","https://openalex.org/W3035342403","https://openalex.org/W3083918922","https://openalex.org/W3088476622","https://openalex.org/W3155547306","https://openalex.org/W3198401109","https://openalex.org/W4200137485","https://openalex.org/W4205726274","https://openalex.org/W4206793754","https://openalex.org/W4220971618","https://openalex.org/W4226069575","https://openalex.org/W4295883599","https://openalex.org/W4295936673","https://openalex.org/W6741087337","https://openalex.org/W6750409446","https://openalex.org/W6757384668"],"related_works":["https://openalex.org/W4289718052","https://openalex.org/W2164121020","https://openalex.org/W2145559838","https://openalex.org/W2905319430","https://openalex.org/W3116498279","https://openalex.org/W4287549553","https://openalex.org/W4310285384","https://openalex.org/W3183027292","https://openalex.org/W4248896073","https://openalex.org/W2974871044"],"abstract_inverted_index":{"The":[0],"computer-aided":[1],"diagnosis":[2,36,60,134],"(CAD)":[3],"method":[4,56,122,135,164],"based":[5,62],"on":[6,14,63],"few-shot":[7,51,147],"learning":[8,54,148],"(FSL)":[9,149],"effectively":[10,139],"reduces":[11],"the":[12,19,28,39,64,107,127,141,146,157,162,167,172,178],"dependence":[13],"labelled":[15],"medical":[16],"images.":[17,113],"However,":[18],"catastrophic":[20,128],"forgetting":[21,129],"defect":[22],"of":[23,30,67,110,117,145,161,170],"neural":[24],"networks":[25],"seriously":[26],"decreases":[27],"ability":[29],"CAD":[31],"methods":[32],"to":[33,72,91,105,125],"meet":[34],"real":[35],"needs.":[37],"Moreover,":[38],"low":[40,142],"classification":[41,48,143,150],"accuracy":[42,144,160,168,173],"and":[43,82,97],"limited":[44],"categories":[45],"make":[46],"FSL":[47],"difficult.":[49],"A":[50],"class":[52],"incremental":[53],"(FSCIL)":[55],"for":[57],"skin":[58,94],"disease":[59,95],"(SDD)":[61],"consumer":[65],"Internet":[66],"Things":[68],"(CIoT)":[69],"is":[70,103,123,152,174],"designed":[71,104,124],"solve":[73,126],"these":[74],"problems":[75],"in":[76],"this":[77],"paper.":[78],"First,":[79],"dermoscopic":[80],"images":[81,84],"clinical":[83],"obtained":[85],"from":[86],"CIoT":[87],"nodes":[88],"are":[89],"used":[90],"cover":[92],"more":[93],"categories,":[96],"a":[98,115,132],"dual-flow":[99],"modal":[100,108,112],"alignment":[101],"module":[102],"mitigate":[106],"misalignment":[109],"different":[111],"Second,":[114],"queue":[116],"gradient":[118],"episodic":[119],"memory":[120],"(Q-GEM)":[121],"problem.":[130],"Third,":[131],"differential":[133],"(DDM),":[136],"which":[137],"can":[138,165],"improve":[140],"network,":[151],"designed.":[153],"Experiments":[154],"show":[155],"that":[156],"top-3":[158],"diagnostic":[159],"proposed":[163],"match":[166],"level":[169],"dermatologists,":[171],"11.2%":[175],"improvement":[176],"over":[177],"SOTA":[179],"method.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
