{"id":"https://openalex.org/W7141544641","doi":"https://doi.org/10.1109/icce67443.2026.11449713","title":"Vision Transformer for Ovarian Tumor Classification: A Comparative Study with CNNs on Ultrasound Imaging","display_name":"Vision Transformer for Ovarian Tumor Classification: A Comparative Study with CNNs on Ultrasound Imaging","publication_year":2026,"publication_date":"2026-02-03","ids":{"openalex":"https://openalex.org/W7141544641","doi":"https://doi.org/10.1109/icce67443.2026.11449713"},"language":null,"primary_location":{"id":"doi:10.1109/icce67443.2026.11449713","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce67443.2026.11449713","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/A5130789792","display_name":"Abdussamad Abdullahi Musa","orcid":null},"institutions":[{"id":"https://openalex.org/I181647926","display_name":"University of Strathclyde","ror":"https://ror.org/00n3w3b69","country_code":"GB","type":"education","lineage":["https://openalex.org/I181647926"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Abdussamad Abdullahi Musa","raw_affiliation_strings":["University of Strathclyde,Department of Computer and Information Sciences,Glasgow,United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Strathclyde,Department of Computer and Information Sciences,Glasgow,United Kingdom","institution_ids":["https://openalex.org/I181647926"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111819494","display_name":"Anil Fernando","orcid":null},"institutions":[{"id":"https://openalex.org/I181647926","display_name":"University of Strathclyde","ror":"https://ror.org/00n3w3b69","country_code":"GB","type":"education","lineage":["https://openalex.org/I181647926"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Anil Fernando","raw_affiliation_strings":["University of Strathclyde,Department of Computer and Information Sciences,Glasgow,United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Strathclyde,Department of Computer and Information Sciences,Glasgow,United Kingdom","institution_ids":["https://openalex.org/I181647926"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5130789792"],"corresponding_institution_ids":["https://openalex.org/I181647926"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.93299118,"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":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10727","display_name":"Ultrasound Imaging and Elastography","score":0.13130000233650208,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T10727","display_name":"Ultrasound Imaging and Elastography","score":0.13130000233650208,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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":0.10589999705553055,"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"}},{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.0471000000834465,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.47920000553131104},{"id":"https://openalex.org/keywords/ultrasound-imaging","display_name":"Ultrasound imaging","score":0.43939998745918274},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.36649999022483826},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.34220001101493835},{"id":"https://openalex.org/keywords/ovarian-tumor","display_name":"Ovarian tumor","score":0.33869999647140503},{"id":"https://openalex.org/keywords/ultrasonic-imaging","display_name":"Ultrasonic imaging","score":0.3255000114440918},{"id":"https://openalex.org/keywords/imaging-technique","display_name":"Imaging technique","score":0.30149999260902405}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5187000036239624},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.47920000553131104},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46709999442100525},{"id":"https://openalex.org/C2986892559","wikidata":"https://www.wikidata.org/wiki/Q234904","display_name":"Ultrasound imaging","level":3,"score":0.43939998745918274},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.43290001153945923},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4239000082015991},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.36649999022483826},{"id":"https://openalex.org/C136229726","wikidata":"https://www.wikidata.org/wiki/Q327092","display_name":"Biomedical engineering","level":1,"score":0.34689998626708984},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.34220001101493835},{"id":"https://openalex.org/C2780084626","wikidata":"https://www.wikidata.org/wiki/Q11793790","display_name":"Ovarian tumor","level":4,"score":0.33869999647140503},{"id":"https://openalex.org/C2989478337","wikidata":"https://www.wikidata.org/wiki/Q234904","display_name":"Ultrasonic imaging","level":3,"score":0.3255000114440918},{"id":"https://openalex.org/C3020205268","wikidata":"https://www.wikidata.org/wiki/Q1038886","display_name":"Imaging technique","level":2,"score":0.30149999260902405},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.29490000009536743},{"id":"https://openalex.org/C112416745","wikidata":"https://www.wikidata.org/wiki/Q974213","display_name":"Digital imaging","level":5,"score":0.27639999985694885},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.26109999418258667},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2583000063896179},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2572999894618988},{"id":"https://openalex.org/C2779751349","wikidata":"https://www.wikidata.org/wiki/Q1474480","display_name":"Scanner","level":2,"score":0.2565999925136566},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.25189998745918274}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce67443.2026.11449713","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce67443.2026.11449713","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":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.5339818596839905}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2892004104","https://openalex.org/W2909791732","https://openalex.org/W2963446712","https://openalex.org/W2963587345","https://openalex.org/W3010470146","https://openalex.org/W4200533030","https://openalex.org/W4362603432","https://openalex.org/W4404115290","https://openalex.org/W4412708055","https://openalex.org/W4415259400"],"related_works":[],"abstract_inverted_index":{"Ovarian":[0,39],"cancer":[1,190],"continues":[2],"to":[3,82,104,185,203],"be":[4],"one":[5],"of":[6,86,171,188],"the":[7,37,63,84,106,111,120,165,169,186],"most":[8],"deadly":[9],"gynaecological":[10],"cancers":[11],"worldwide.":[12],"Early":[13],"and":[14,52,74,100,131,159],"accurate":[15],"diagnosis":[16],"is":[17],"critically":[18],"important.":[19],"This":[20,182],"study":[21],"systematically":[22],"compares":[23],"Vision":[24,47],"Transformer":[25,48],"(ViT)":[26],"architecture":[27,167],"against":[28],"established":[29],"CNN":[30],"models":[31,54],"for":[32,128,136,143,178,194],"ovarian":[33,189],"tumor":[34,66],"classification":[35,59,130],"using":[36,97],"Multi-Modality":[38],"Tumor":[40],"Ultrasound":[41],"(MMOTU)":[42],"dataset.":[43,112,145],"We":[44],"implemented":[45],"ResNet50,":[46],"(ViT),":[49],"EfficientNet-B0,":[50],"EfficientNetV2-m,":[51],"DenseNet-121":[53],"with":[55,123],"a":[56],"new":[57,140],"three-class":[58,137],"approach":[60,200],"that":[61],"groups":[62],"original":[64],"eight":[65],"categories":[67],"into":[68],"clinically":[69],"relevant":[70],"classes:":[71],"Benign,":[72],"Malignant,":[73],"Normal.":[75],"Our":[76],"methodology":[77],"incorporates":[78],"stratified":[79],"5-fold":[80],"cross-validation":[81],"address":[83,105],"limitation":[85],"single":[87],"train-test":[88],"splits":[89],"in":[90,110,207],"previous":[91],"studies,":[92],"comprehensive":[93],"data":[94],"augmentation":[95],"strategies":[96],"MONAI":[98],"transforms,":[99],"class":[101,108],"weight":[102],"balancing":[103],"inherent":[107],"imbalance":[109],"The":[113,146,161,198],"ViT":[114],"achieved":[115,163],"state-of-the-art":[116],"(SOTA)":[117],"performance":[118],"on":[119],"MMOTU":[121],"dataset":[122],"82.98%":[124],"\u00b1":[125,133],"1.89%":[126],"accuracy":[127,135],"8-class":[129],"91.15%":[132],"1.48%":[134],"classification,":[138],"establishing":[139],"SOTA":[141],"results":[142],"this":[144],"low":[147],"standard":[148],"deviations":[149],"(\u03c3":[150],"<":[151],"2%)":[152],"across":[153],"folds":[154],"demonstrate":[155],"model":[156],"stability,":[157],"reproducibility":[158],"reliability.":[160],"success":[162],"by":[164],"transformer-based":[166],"demonstrates":[168],"superiority":[170],"attention":[172],"mechanisms":[173],"over":[174],"traditional":[175],"convolutional":[176],"approaches":[177],"ultrasound":[179],"image":[180],"analysis.":[181],"work":[183],"contributes":[184],"advancement":[187],"point-of-care":[191,208],"diagnostic":[192],"applications":[193],"consumer":[195],"healthcare":[196],"devices.":[197],"proposed":[199],"shows":[201],"potential":[202],"support":[204],"clinical":[205],"decision-making":[206],"settings.":[209]},"counts_by_year":[],"updated_date":"2026-03-29T06:01:01.467347","created_date":"2026-03-28T00:00:00"}