{"id":"https://openalex.org/W4404688382","doi":"https://doi.org/10.1109/access.2024.3503413","title":"Hybrid Deep Learning EfficientNetV2 and Vision Transformer (EffNetV2-ViT) Model for Breast Cancer Histopathological Image Classification","display_name":"Hybrid Deep Learning EfficientNetV2 and Vision Transformer (EffNetV2-ViT) Model for Breast Cancer Histopathological Image Classification","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4404688382","doi":"https://doi.org/10.1109/access.2024.3503413"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3503413","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3503413","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3503413","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101992584","display_name":"Mansoor Hayat","orcid":"https://orcid.org/0000-0002-1131-2398"},"institutions":[{"id":"https://openalex.org/I3132067926","display_name":"Krirk University","ror":"https://ror.org/04d8yqq70","country_code":"TH","type":"education","lineage":["https://openalex.org/I3132067926"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Mansoor Hayat","raw_affiliation_strings":["Department of ICT, International College, Krirk University, Bangkok, Thailand","Dept. of ICT, International College, Krirk University, Bangkok, Thailand"],"raw_orcid":"https://orcid.org/0000-0002-1131-2398","affiliations":[{"raw_affiliation_string":"Department of ICT, International College, Krirk University, Bangkok, Thailand","institution_ids":["https://openalex.org/I3132067926"]},{"raw_affiliation_string":"Dept. of ICT, International College, Krirk University, Bangkok, Thailand","institution_ids":["https://openalex.org/I3132067926"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038783816","display_name":"Nouman Ahmad","orcid":"https://orcid.org/0000-0003-0202-9205"},"institutions":[{"id":"https://openalex.org/I123387679","display_name":"Uppsala University","ror":"https://ror.org/048a87296","country_code":"SE","type":"education","lineage":["https://openalex.org/I123387679"]},{"id":"https://openalex.org/I16076960","display_name":"COMSATS University Islamabad","ror":"https://ror.org/00nqqvk19","country_code":"PK","type":"education","lineage":["https://openalex.org/I16076960"]}],"countries":["PK","SE"],"is_corresponding":false,"raw_author_name":"Nouman Ahmad","raw_affiliation_strings":["Department of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden","Comsats University, Department of Computer Science, Islamabad, Pakistan"],"raw_orcid":"https://orcid.org/0000-0003-0202-9205","affiliations":[{"raw_affiliation_string":"Department of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden","institution_ids":["https://openalex.org/I123387679"]},{"raw_affiliation_string":"Comsats University, Department of Computer Science, Islamabad, Pakistan","institution_ids":["https://openalex.org/I16076960"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069623131","display_name":"Anam Nasir","orcid":"https://orcid.org/0000-0003-3583-8455"},"institutions":[{"id":"https://openalex.org/I16076960","display_name":"COMSATS University Islamabad","ror":"https://ror.org/00nqqvk19","country_code":"PK","type":"education","lineage":["https://openalex.org/I16076960"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN","PK"],"is_corresponding":false,"raw_author_name":"Anam Nasir","raw_affiliation_strings":["Faculty of Computing, Harbin Institute of Technology, Harbin, China","Comsats University, Department of Computer Science, Islamabad, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computing, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Comsats University, Department of Computer Science, Islamabad, Pakistan","institution_ids":["https://openalex.org/I16076960"]}]},{"author_position":"last","author":{"id":null,"display_name":"Zeeshan Ahmad Tariq","orcid":null},"institutions":[{"id":"https://openalex.org/I173207729","display_name":"University of Engineering and Technology Taxila","ror":"https://ror.org/03v00ka07","country_code":"PK","type":"education","lineage":["https://openalex.org/I173207729"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Zeeshan Ahmad Tariq","raw_affiliation_strings":["Department of Electrical Engineering, University of Engineering and Technology, Taxila, Pakistan","Department of Electrical Engineering, University of Engineering and Technology, Islamabad, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Engineering and Technology, Taxila, Pakistan","institution_ids":["https://openalex.org/I173207729"]},{"raw_affiliation_string":"Department of Electrical Engineering, University of Engineering and Technology, Islamabad, Pakistan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101992584"],"corresponding_institution_ids":["https://openalex.org/I3132067926"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":22.2962,"has_fulltext":true,"cited_by_count":70,"citation_normalized_percentile":{"value":0.99606756,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"12","issue":null,"first_page":"184119","last_page":"184131"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9764999747276306,"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"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9764999747276306,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9020000100135803,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6426129341125488},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6234427094459534},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.5130125880241394},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5062364935874939},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.442516028881073},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40501293540000916},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3983760476112366},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.2327060103416443},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.17690128087997437},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.15426048636436462},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08874824643135071}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6426129341125488},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6234427094459534},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.5130125880241394},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5062364935874939},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.442516028881073},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40501293540000916},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3983760476112366},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.2327060103416443},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.17690128087997437},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.15426048636436462},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08874824643135071},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2024.3503413","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3503413","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:DiVA.org:uu-546910","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-546910","pdf_url":"https://uu.diva-portal.org/smash/get/diva2:1928341/FULLTEXT01","source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:doaj.org/article:80f761070acf454fa99b78fb72762484","is_oa":true,"landing_page_url":"https://doaj.org/article/80f761070acf454fa99b78fb72762484","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 184119-184131 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3503413","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3503413","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2560028940","https://openalex.org/W2716665989","https://openalex.org/W2765876398","https://openalex.org/W2786538735","https://openalex.org/W2788072220","https://openalex.org/W2795013683","https://openalex.org/W2801370692","https://openalex.org/W2883174304","https://openalex.org/W2892961888","https://openalex.org/W2913429812","https://openalex.org/W2929968583","https://openalex.org/W2978636994","https://openalex.org/W2984728496","https://openalex.org/W2998449599","https://openalex.org/W3091930574","https://openalex.org/W3107669607","https://openalex.org/W3163306278","https://openalex.org/W3167837218","https://openalex.org/W3169348365","https://openalex.org/W3184620780","https://openalex.org/W3185303945","https://openalex.org/W4213456025","https://openalex.org/W4221053294","https://openalex.org/W4281767824","https://openalex.org/W4300690596","https://openalex.org/W6631190155","https://openalex.org/W6747218270","https://openalex.org/W6762718338","https://openalex.org/W6793164127"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W2731899572","https://openalex.org/W4230611425","https://openalex.org/W4294635752","https://openalex.org/W2375584271","https://openalex.org/W4304166257","https://openalex.org/W1997105855","https://openalex.org/W4383066092"],"abstract_inverted_index":{"Breast":[0],"cancer":[1,78,159,227],"remains":[2],"a":[3,72,90,143,145,221],"leading":[4],"cause":[5],"of":[6,38,58,105,124,147,174,194],"death":[7],"among":[8,207],"women,":[9],"highlighting":[10],"the":[11,36,55,118,134,171,178],"urgent":[12],"need":[13],"for":[14,98,112],"effective":[15,183],"detection":[16,57,228],"methods.":[17],"In":[18],"recent":[19],"years,":[20],"AI-based":[21],"techniques,":[22,52],"including":[23],"computer":[24,83],"vision,":[25],"machine":[26],"learning,":[27,30],"and":[28,66,86,102,128,203],"deep":[29],"have":[31],"gained":[32],"significant":[33],"popularity":[34],"in":[35,54,117,130,184],"field":[37],"medical":[39],"imaging.":[40],"The":[41],"healthcare":[42],"industry":[43],"has":[44],"witnessed":[45],"remarkable":[46],"progress":[47],"due":[48],"to":[49,75,132,155,224],"these":[50,216],"AI":[51],"particularly":[53],"early":[56],"cancer,":[59],"which":[60],"can":[61],"greatly":[62],"impact":[63],"patient":[64],"outcomes":[65],"survival":[67],"rates.":[68],"This":[69],"research":[70],"introduces":[71],"new":[73],"approach":[74],"identifying":[76,186],"breast":[77,158,187,226],"by":[79,142],"combining":[80,215],"two":[81,200,217],"advanced":[82],"technologies:":[84],"EfficientNetV2":[85,95,125,175],"vision":[87,179],"transformer,":[88,144,180],"using":[89,170],"specific":[91],"dataset":[92],"called":[93],"BreakHis.":[94],"is":[96,140,160,181],"praised":[97],"its":[99],"quick":[100],"processing":[101],"efficient":[103],"use":[104],"resources,":[106],"making":[107],"it":[108],"an":[109,191],"excellent":[110,149],"tool":[111],"initially":[113],"identify":[114],"important":[115],"information":[116,139],"data.":[119],"We":[120],"utilize":[121],"three":[122],"variants":[123],"(small,":[126],"medium":[127],"large)":[129],"order":[131],"discern":[133],"crucial":[135],"features.":[136],"Afterwards,":[137],"this":[138,166],"processed":[141],"type":[146],"model":[148],"at":[150],"classifying":[151],"or":[152],"sorting":[153],"data,":[154],"determine":[156],"if":[157],"present.":[161],"Our":[162],"experiments":[163],"show":[164],"that":[165,214],"method,":[167],"especially":[168],"when":[169,197,205],"largest":[172],"version":[173],"paired":[176],"with":[177],"highly":[182],"accurately":[185],"cancer.":[188],"It":[189],"reached":[190],"impressive":[192],"accuracy":[193],"nearly":[195],"99.83%":[196],"deciding":[198],"between":[199],"possible":[201],"categories":[202],"98.10%":[204],"distinguishing":[206],"eight":[208],"categories.":[209],"These":[210],"promising":[211],"results":[212],"depict":[213],"technologies":[218],"could":[219],"be":[220],"powerful":[222],"way":[223],"improve":[225],"accuracy.":[229]},"counts_by_year":[{"year":2026,"cited_by_count":20},{"year":2025,"cited_by_count":50}],"updated_date":"2026-05-17T08:19:37.847499","created_date":"2025-10-10T00:00:00"}
