{"id":"https://openalex.org/W7161593195","doi":"https://doi.org/10.1109/access.2026.3694268","title":"Cross-Modality Transfer Learning for Breast Cancer Detection Using Ultrasound-Pretrained Deep Network on Histopathology Images","display_name":"Cross-Modality Transfer Learning for Breast Cancer Detection Using Ultrasound-Pretrained Deep Network on Histopathology Images","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7161593195","doi":"https://doi.org/10.1109/access.2026.3694268"},"language":"en","primary_location":{"id":"doi:10.1109/access.2026.3694268","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3694268","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.2026.3694268","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084613792","display_name":"Lovkesh Arora","orcid":"https://orcid.org/0000-0002-3427-1082"},"institutions":[{"id":"https://openalex.org/I145286018","display_name":"SRM Institute of Science and Technology","ror":"https://ror.org/050113w36","country_code":"IN","type":"education","lineage":["https://openalex.org/I145286018"]},{"id":"https://openalex.org/I166533956","display_name":"Institute of Management Technology","ror":"https://ror.org/05k0kb696","country_code":"IN","type":"education","lineage":["https://openalex.org/I166533956"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Lakshya Arora","raw_affiliation_strings":["1Department of Computer Science and Engineering, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Delhi NCR Campus, Modinagar, Ghaziabad, Uttar Pradesh, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"1Department of Computer Science and Engineering, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Delhi NCR Campus, Modinagar, Ghaziabad, Uttar Pradesh, India","institution_ids":["https://openalex.org/I166533956","https://openalex.org/I145286018"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103008003","display_name":"Krishan Yadav","orcid":"https://orcid.org/0000-0003-1001-461X"},"institutions":[{"id":"https://openalex.org/I3131927718","display_name":"JECRC University","ror":"https://ror.org/04hjsag95","country_code":"IN","type":"education","lineage":["https://openalex.org/I3131927718"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Krishan Kumar Yadav","raw_affiliation_strings":["2Department of Mathematics, JECRC University, Jaipur, Rajasthan, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"2Department of Mathematics, JECRC University, Jaipur, Rajasthan, India","institution_ids":["https://openalex.org/I3131927718"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005097447","display_name":"Anjali Malik","orcid":"https://orcid.org/0009-0006-9598-3522"},"institutions":[{"id":"https://openalex.org/I145286018","display_name":"SRM Institute of Science and Technology","ror":"https://ror.org/050113w36","country_code":"IN","type":"education","lineage":["https://openalex.org/I145286018"]},{"id":"https://openalex.org/I166533956","display_name":"Institute of Management Technology","ror":"https://ror.org/05k0kb696","country_code":"IN","type":"education","lineage":["https://openalex.org/I166533956"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anjali Malik","raw_affiliation_strings":["1Department of Computer Science and Engineering, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Delhi NCR Campus, Modinagar, Ghaziabad, Uttar Pradesh, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"1Department of Computer Science and Engineering, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Delhi NCR Campus, Modinagar, Ghaziabad, Uttar Pradesh, India","institution_ids":["https://openalex.org/I166533956","https://openalex.org/I145286018"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101455432","display_name":"Narendra Kumar","orcid":"https://orcid.org/0000-0002-5578-3255"},"institutions":[{"id":"https://openalex.org/I4210086299","display_name":"Noida International University","ror":"https://ror.org/001amd982","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210086299"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Narendra Kumar","raw_affiliation_strings":["3Department of Mathematics, IILM University, Greater Noida, Uttar Pradesh, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"3Department of Mathematics, IILM University, Greater Noida, Uttar Pradesh, India","institution_ids":["https://openalex.org/I4210086299"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034388705","display_name":"Udit Mamodiya","orcid":"https://orcid.org/0000-0002-8022-4252"},"institutions":[{"id":"https://openalex.org/I4210126659","display_name":"Poornima University","ror":"https://ror.org/03gnqp653","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210126659"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Udit Mamodiya","raw_affiliation_strings":["4Faculty of Engineering and Technology, Poornima University, Jaipur, Rajasthan, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"4Faculty of Engineering and Technology, Poornima University, Jaipur, Rajasthan, India","institution_ids":["https://openalex.org/I4210126659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101671388","display_name":"Rekha Jain","orcid":"https://orcid.org/0000-0002-5009-8400"},"institutions":[{"id":"https://openalex.org/I99552915","display_name":"University of Rajasthan","ror":"https://ror.org/05arfhc56","country_code":"IN","type":"education","lineage":["https://openalex.org/I99552915"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rekha Jain","raw_affiliation_strings":["5Department of Computer Applications, Manipal University Jaipur, Jaipur, Rajasthan, India"],"raw_orcid":"https://orcid.org/0000-0002-5009-8400","affiliations":[{"raw_affiliation_string":"5Department of Computer Applications, Manipal University Jaipur, Jaipur, Rajasthan, India","institution_ids":["https://openalex.org/I99552915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.78884522,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"76510","last_page":"76525"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.870199978351593,"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":0.870199978351593,"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":0.013700000010430813,"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"}},{"id":"https://openalex.org/T11134","display_name":"Breast Lesions and Carcinomas","score":0.011599999852478504,"subfield":{"id":"https://openalex.org/subfields/2734","display_name":"Pathology and Forensic Medicine"},"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/breast-cancer","display_name":"Breast cancer","score":0.6539999842643738},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6531999707221985},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6187000274658203},{"id":"https://openalex.org/keywords/histopathology","display_name":"Histopathology","score":0.5516999959945679},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41830000281333923},{"id":"https://openalex.org/keywords/cancer-detection","display_name":"Cancer detection","score":0.3849000036716461},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.34709998965263367}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6586999893188477},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.6539999842643738},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6531999707221985},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6187000274658203},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5873000025749207},{"id":"https://openalex.org/C544855455","wikidata":"https://www.wikidata.org/wiki/Q1070952","display_name":"Histopathology","level":2,"score":0.5516999959945679},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41830000281333923},{"id":"https://openalex.org/C2985322473","wikidata":"https://www.wikidata.org/wiki/Q3044843","display_name":"Cancer detection","level":3,"score":0.3849000036716461},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.34709998965263367},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33820000290870667},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3151000142097473},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.31360000371932983},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.3019999861717224},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.2985999882221222},{"id":"https://openalex.org/C3020109028","wikidata":"https://www.wikidata.org/wiki/Q9103","display_name":"Breast tissue","level":4,"score":0.29100000858306885},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.28060001134872437},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.2802000045776367},{"id":"https://openalex.org/C2779549770","wikidata":"https://www.wikidata.org/wiki/Q1122413","display_name":"Computer-aided diagnosis","level":2,"score":0.259799987077713},{"id":"https://openalex.org/C19527891","wikidata":"https://www.wikidata.org/wiki/Q1120908","display_name":"Medical physics","level":1,"score":0.2513999938964844}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2026.3694268","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3694268","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:doaj.org/article:906f44aa607c4037b3d518b06268814f","is_oa":true,"landing_page_url":"https://doaj.org/article/906f44aa607c4037b3d518b06268814f","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 14, Pp 76510-76525 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2026.3694268","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3694268","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Deep":[0],"Learning":[1],"architecture":[2],"on":[3,39,128,186],"breast":[4,40,217],"cancer":[5,45],"is":[6,54,134,161],"usually":[7],"constructed":[8],"in":[9,19,81,202],"a":[10,35,82,129,147,213],"particular":[11],"imaging":[12],"type,":[13],"which":[14],"restricts":[15],"their":[16],"application":[17],"use":[18],"different":[20,154],"workflows":[21],"of":[22,29,117,149,166,170],"diagnostics.":[23],"This":[24],"research":[25,207],"explores":[26],"the":[27,48,115,140,190,196],"concept":[28],"cross-modality":[30,209],"transfer":[31,210],"learning":[32,211],"by":[33,46],"fine-tuning":[34],"convolutional":[36],"neural":[37],"network":[38],"ultrasound":[41,179],"images":[42],"to":[43,67,85,113,151,163,198,216],"classify":[44],"using":[47],"histopathology":[49,187],"approach.":[50],"The":[51,89,175,206],"BreakHis":[52],"dataset":[53],"experimented":[55],"upon":[56],"four":[57],"magnification":[58,158],"levels":[59],"(40X,":[60],"100X,":[61],"200X":[62],"and":[63,75,100,110,168],"400X).":[64],"In":[65],"order":[66],"provide":[68,86],"good":[69],"evaluation,":[70],"both":[71],"image":[72,204],"level":[73],"cross-validation":[74,78],"patient":[76,130],"wise":[77],"are":[79,125,145],"used":[80],"five-fold":[83],"system":[84],"robust":[87],"evaluation.":[88],"presented":[90],"method":[91],"uses":[92],"stain-aware":[93],"preprocessing":[94],"techniques":[95,104],"with":[96,172],"optical":[97],"density-based":[98],"normalization":[99],"augmentation,":[101],"powerful":[102],"regularization":[103],"such":[105],"as":[106,137,193,195,212],"MixUp,":[107],"stratified":[108],"sampling":[109],"label":[111],"smoothing":[112],"overcome":[114],"issue":[116],"class":[118],"imbalance.":[119],"Findings":[120],"indicate":[121],"that":[122,178],"random":[123],"splits":[124],"optimal":[126],"but":[127],"basis":[131],"an":[132],"evaluation":[133],"more":[135],"realistic":[136],"area":[138],"under":[139],"ROC":[141],"curve":[142],"(AUC)":[143],"values":[144],"at":[146,153],"range":[148],"0.9276":[150],"0.9726":[152],"magnifications.":[155],"A":[156],"further":[157],"generalized":[159],"model":[160],"expected":[162],"reach":[164],"accuracy":[165],"92.75%":[167],"AUC":[169],"0.9708":[171],"high":[173],"sensitivity.":[174],"results":[176],"prove":[177],"trained":[180],"representations":[181],"can":[182],"be":[183],"successfully":[184],"implemented":[185],"even":[188],"when":[189],"domain":[191],"differ,":[192],"well":[194],"need":[197],"perform":[199],"patient-specific":[200],"validation":[201],"medical":[203],"processing.":[205],"justifies":[208],"data-efficient":[214],"approach":[215],"cancer.":[218]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-05-19T00:00:00"}