{"id":"https://openalex.org/W7141315549","doi":"https://doi.org/10.1109/icce67443.2026.11449635","title":"Improving Multi-Class OCT Classification under Class Imbalance via Class-Weight Balancing","display_name":"Improving Multi-Class OCT Classification under Class Imbalance via Class-Weight Balancing","publication_year":2026,"publication_date":"2026-02-03","ids":{"openalex":"https://openalex.org/W7141315549","doi":"https://doi.org/10.1109/icce67443.2026.11449635"},"language":null,"primary_location":{"id":"doi:10.1109/icce67443.2026.11449635","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce67443.2026.11449635","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Conference on Consumer Electronics (ICCE)","raw_type":"proceedings-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/A5067970181","display_name":"Chih-Ling Tseng","orcid":null},"institutions":[{"id":"https://openalex.org/I99908691","display_name":"Yuan Ze University","ror":"https://ror.org/01fv1ds98","country_code":"TW","type":"education","lineage":["https://openalex.org/I99908691"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chih-Ling Tseng","raw_affiliation_strings":["Yuan Ze University,Department of Electrical Engineering,Taoyuan City,R.O.C.,320"],"affiliations":[{"raw_affiliation_string":"Yuan Ze University,Department of Electrical Engineering,Taoyuan City,R.O.C.,320","institution_ids":["https://openalex.org/I99908691"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069919648","display_name":"Pin-han Wen","orcid":null},"institutions":[{"id":"https://openalex.org/I99908691","display_name":"Yuan Ze University","ror":"https://ror.org/01fv1ds98","country_code":"TW","type":"education","lineage":["https://openalex.org/I99908691"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Pin-Han Wen","raw_affiliation_strings":["Yuan Ze University,Department of Electrical Engineering,Taoyuan City,R.O.C.,320"],"affiliations":[{"raw_affiliation_string":"Yuan Ze University,Department of Electrical Engineering,Taoyuan City,R.O.C.,320","institution_ids":["https://openalex.org/I99908691"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022360833","display_name":"Cheng-Kai Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I134161618","display_name":"National Taiwan Normal University","ror":"https://ror.org/059dkdx38","country_code":"TW","type":"education","lineage":["https://openalex.org/I134161618"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Cheng-Kai Lu","raw_affiliation_strings":["National Taiwan Normal University,Department of Electrical Engineering,R.O.C.,106"],"affiliations":[{"raw_affiliation_string":"National Taiwan Normal University,Department of Electrical Engineering,R.O.C.,106","institution_ids":["https://openalex.org/I134161618"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130729181","display_name":"Jia-Kang Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I99908691","display_name":"Yuan Ze University","ror":"https://ror.org/01fv1ds98","country_code":"TW","type":"education","lineage":["https://openalex.org/I99908691"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jia-Kang Wang","raw_affiliation_strings":["Yuan Ze University,Department of Electrical Engineering,Taoyuan City,R.O.C.,320"],"affiliations":[{"raw_affiliation_string":"Yuan Ze University,Department of Electrical Engineering,Taoyuan City,R.O.C.,320","institution_ids":["https://openalex.org/I99908691"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086500404","display_name":"Tzu\u2010Lun Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I99908691","display_name":"Yuan Ze University","ror":"https://ror.org/01fv1ds98","country_code":"TW","type":"education","lineage":["https://openalex.org/I99908691"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tzu-Lun Huang","raw_affiliation_strings":["Yuan Ze University,Department of Electrical Engineering,Taoyuan City,R.O.C.,320"],"affiliations":[{"raw_affiliation_string":"Yuan Ze University,Department of Electrical Engineering,Taoyuan City,R.O.C.,320","institution_ids":["https://openalex.org/I99908691"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070260848","display_name":"Cheng-Hung Lin","orcid":"https://orcid.org/0000-0001-8373-2271"},"institutions":[{"id":"https://openalex.org/I99908691","display_name":"Yuan Ze University","ror":"https://ror.org/01fv1ds98","country_code":"TW","type":"education","lineage":["https://openalex.org/I99908691"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Cheng-Hung Dixson Lin","raw_affiliation_strings":["Yuan Ze University,Department of Electrical Engineering,Taoyuan City,R.O.C.,320"],"affiliations":[{"raw_affiliation_string":"Yuan Ze University,Department of Electrical Engineering,Taoyuan City,R.O.C.,320","institution_ids":["https://openalex.org/I99908691"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5067970181"],"corresponding_institution_ids":["https://openalex.org/I99908691"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.92257813,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11569","display_name":"Optical Coherence Tomography Applications","score":0.7261000275611877,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11569","display_name":"Optical Coherence Tomography Applications","score":0.7261000275611877,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10193","display_name":"Coronary Interventions and Diagnostics","score":0.05570000037550926,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/T10232","display_name":"Optical Network Technologies","score":0.015599999576807022,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.47530001401901245},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3165000081062317},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3003999888896942},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.26489999890327454},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.2549999952316284}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5067999958992004},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.47530001401901245},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4465000033378601},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3165000081062317},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.31040000915527344},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3003999888896942},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2655999958515167},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.26489999890327454},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.2549999952316284},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.23829999566078186}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce67443.2026.11449635","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce67443.2026.11449635","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Conference on Consumer Electronics (ICCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2147800946","https://openalex.org/W2194775991","https://openalex.org/W2963163009","https://openalex.org/W2982083293","https://openalex.org/W2984413259","https://openalex.org/W3122440835","https://openalex.org/W4220750864","https://openalex.org/W4297826704","https://openalex.org/W4406493325"],"related_works":[],"abstract_inverted_index":{"Class":[0],"imbalance":[1,55],"is":[2,71],"a":[3],"critical":[4],"issue":[5,57],"in":[6,10,34,94,141],"multi-class":[7],"classification,":[8],"particularly":[9,140],"medical":[11],"image":[12],"analysis,":[13],"where":[14],"rare":[15,95,155],"diseases":[16,156],"are":[17,87],"insufficient.":[18],"In":[19,80],"this":[20],"study,":[21],"an":[22,41],"improved":[23],"class":[24],"weight":[25],"balancing":[26],"(CWB)":[27],"formulation,":[28],"modified":[29,63,106],"from":[30,67],"the":[31,54,60,91,105,128,133,152],"baseline":[32],"method":[33,135],"[1],":[35],"was":[36],"proposed":[37],"and":[38,58,108,115,124,157],"applied":[39,72],"to":[40,52,73,89],"eight-class":[42],"imbalanced":[43],"classification":[44],"task":[45],"for":[46],"Optical":[47],"Coherence":[48],"Tomography":[49],"(OCT)":[50],"images,":[51],"solve":[53],"data":[56,83,138],"enhance":[59],"performance.":[61],"The":[62,98],"CWB":[64,107,130,134],"formula,":[65],"derived":[66],"conventional":[68],"weighting":[69],"strategies,":[70],"various":[74],"convolutional":[75],"neural":[76],"network":[77],"(CNN)":[78],"architectures.":[79],"addition,":[81],"basic":[82,109],"augmentation":[84],"(DA)":[85],"techniques":[86],"employed":[88],"address":[90],"few-shot":[92],"problem":[93],"disease":[96],"classes.":[97],"results":[99],"show":[100],"that":[101],"AOCT-NET":[102],"combined":[103],"with":[104],"DA":[110],"achieves":[111],"78.35%":[112],"of":[113,117,154],"accuracy":[114],"0.7221":[116],"F1-score,":[118],"outperforming":[119],"other":[120],"lightweight":[121,142],"CNN":[122,143],"models,":[123],"demonstrating":[125],"improvements":[126],"over":[127],"original":[129],"method.":[131],"Furthermore,":[132],"effectively":[136],"addresses":[137],"imbalance,":[139],"models.":[144],"Future":[145],"work":[146],"will":[147],"focus":[148],"on":[149],"further":[150],"enhancing":[151],"recognition":[153],"mitigating":[158],"dataset":[159],"limitations.":[160]},"counts_by_year":[],"updated_date":"2026-03-29T06:01:01.467347","created_date":"2026-03-28T00:00:00"}
