{"id":"https://openalex.org/W7158487573","doi":"https://doi.org/10.1038/s41598-026-50563-6","title":"Deep learning-based breast cancer detection with customized ensemble attention","display_name":"Deep learning-based breast cancer detection with customized ensemble attention","publication_year":2026,"publication_date":"2026-04-29","ids":{"openalex":"https://openalex.org/W7158487573","doi":"https://doi.org/10.1038/s41598-026-50563-6","pmid":"https://pubmed.ncbi.nlm.nih.gov/42056343","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/13319218"},"language":"en","primary_location":{"id":"doi:10.1038/s41598-026-50563-6","doi":"https://doi.org/10.1038/s41598-026-50563-6","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41598-026-50563-6","pdf_url":"https://www.nature.com/articles/s41598-026-50563-6_reference.pdf","source":{"id":"https://openalex.org/S196734849","display_name":"Scientific Reports","issn_l":"2045-2322","issn":["2045-2322"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-c","doyens","jufo-1","ki-jl-1","medline","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Reports","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.nature.com/articles/s41598-026-50563-6_reference.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058225308","display_name":"Divyakant Meva","orcid":"https://orcid.org/0000-0001-8804-7337","observed_orcids":["https://orcid.org/0000-0001-8804-7337"]},"institutions":[{"id":"https://openalex.org/I3132999081","display_name":"Marwadi University","ror":"https://ror.org/030dn1812","country_code":"IN","type":"education","lineage":["https://openalex.org/I3132999081"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Divyakant T. Meva","raw_affiliation_strings":["Faculty of Computer Applications, Marwadi University, Rajkot, Gujarat, India. divyakant.meva@marwadieducation.edu.in"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computer Applications, Marwadi University, Rajkot, Gujarat, India. divyakant.meva@marwadieducation.edu.in","institution_ids":["https://openalex.org/I3132999081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085449195","display_name":"Kalpesh A. Popat","orcid":"https://orcid.org/0000-0002-3818-3717","observed_orcids":["https://orcid.org/0000-0002-3818-3717"]},"institutions":[{"id":"https://openalex.org/I3132999081","display_name":"Marwadi University","ror":"https://ror.org/030dn1812","country_code":"IN","type":"education","lineage":["https://openalex.org/I3132999081"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kalpesh Popat","raw_affiliation_strings":["Faculty of Computer Applications, Marwadi University, Rajkot, Gujarat, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computer Applications, Marwadi University, Rajkot, Gujarat, India","institution_ids":["https://openalex.org/I3132999081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014796477","display_name":"Hirenkumar Kukadiya","orcid":"https://orcid.org/0000-0002-3628-5605","observed_orcids":["https://orcid.org/0000-0002-3628-5605"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hirenkumar Kukadiya","raw_affiliation_strings":["Institute of Computer Science and Applications, Gandhinagar University, Gandhinagar, Gujarat, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Applications, Gandhinagar University, Gandhinagar, Gujarat, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090269142","display_name":"Nikisha B. Jariwala","orcid":"https://orcid.org/0000-0003-3717-3696","observed_orcids":["https://orcid.org/0000-0003-3717-3696"]},"institutions":[{"id":"https://openalex.org/I10926426","display_name":"Veer Narmad South Gujarat University","ror":"https://ror.org/04frnz493","country_code":"IN","type":"education","lineage":["https://openalex.org/I10926426"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nikisha Jariwala","raw_affiliation_strings":["Smt. Tanuben & Dr. Manubhai Trivedi College of Information Science, Veer Narmad South Gujarat University, Surat, Gujarat, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Smt. Tanuben & Dr. Manubhai Trivedi College of Information Science, Veer Narmad South Gujarat University, Surat, Gujarat, India","institution_ids":["https://openalex.org/I10926426"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5058225308"],"corresponding_institution_ids":["https://openalex.org/I3132999081"],"apc_list":{"value":2690,"currency":"USD","value_usd":2690},"apc_paid":{"value":2690,"currency":"USD","value_usd":2690},"fwci":6.9756,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.96793678,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"16","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":1.0,"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":1.0,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.0,"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"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.0,"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/breast-cancer-detection","display_name":"breast cancer detection","score":0.9919999837875366},{"id":"https://openalex.org/keywords/attention-mechanism","display_name":"attention mechanism","score":0.7950000166893005},{"id":"https://openalex.org/keywords/multi-scale-channel-attention","display_name":"multi-scale channel attention","score":0.875},{"id":"https://openalex.org/keywords/cnn-ensemble","display_name":"CNN ensemble","score":0.4860000014305115},{"id":"https://openalex.org/keywords/histopathology","display_name":"histopathology","score":0.7429999709129333},{"id":"https://openalex.org/keywords/mammography","display_name":"mammography","score":0.9599999785423279},{"id":"https://openalex.org/keywords/breakhis","display_name":"BreakHis","score":0.6589999794960022},{"id":"https://openalex.org/keywords/cbis-ddsm","display_name":"CBIS-DDSM","score":0.9980000257492065},{"id":"https://openalex.org/keywords/computer-aided-diagnosis","display_name":"computer-aided diagnosis","score":0.7540000081062317},{"id":"https://openalex.org/keywords/attention-visualization","display_name":"attention visualization","score":0.6399999856948853},{"id":"https://openalex.org/keywords/reader-study","display_name":"reader study","score":0.44699999690055847},{"id":"https://openalex.org/keywords/early-cancer-detection","display_name":"early cancer detection","score":0.4259999990463257},{"id":"https://openalex.org/keywords/tissue-boundaries","display_name":"tissue boundaries","score":0.49799999594688416}],"concepts":[{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.7705000042915344},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6859999895095825},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6628000140190125},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.633400022983551},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5286999940872192},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.501800000667572},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.4964999854564667},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4693000018596649},{"id":"https://openalex.org/C2778491387","wikidata":"https://www.wikidata.org/wiki/Q17011492","display_name":"Breast cancer screening","level":5,"score":0.4465999901294708},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44620001316070557},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.3847000002861023},{"id":"https://openalex.org/C194544171","wikidata":"https://www.wikidata.org/wiki/Q21105679","display_name":"Gating","level":2,"score":0.3727000057697296},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.3319000005722046},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.2906999886035919},{"id":"https://openalex.org/C2944601119","wikidata":"https://www.wikidata.org/wiki/Q43744058","display_name":"Residual neural network","level":3,"score":0.2775999903678894},{"id":"https://openalex.org/C2781281974","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Digital mammography","level":5,"score":0.25690001249313354}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000098415","descriptor_name":"Convolutional Neural Networks","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008327","descriptor_name":"Mammography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1038/s41598-026-50563-6","doi":"https://doi.org/10.1038/s41598-026-50563-6","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41598-026-50563-6","pdf_url":"https://www.nature.com/articles/s41598-026-50563-6_reference.pdf","source":{"id":"https://openalex.org/S196734849","display_name":"Scientific Reports","issn_l":"2045-2322","issn":["2045-2322"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-c","doyens","jufo-1","ki-jl-1","medline","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Reports","raw_type":"journal-article"},{"id":"pmid:42056343","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/42056343","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific reports","raw_type":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:13319218","doi":null,"is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13319218/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sci Rep","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:4d0bbf38beb14bb2bbf3dc0883b66e7b","doi":null,"is_oa":false,"landing_page_url":"https://doaj.org/article/4d0bbf38beb14bb2bbf3dc0883b66e7b","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,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scientific Reports, Vol 16, Iss 1 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1038/s41598-026-50563-6","doi":"https://doi.org/10.1038/s41598-026-50563-6","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41598-026-50563-6","pdf_url":"https://www.nature.com/articles/s41598-026-50563-6_reference.pdf","source":{"id":"https://openalex.org/S196734849","display_name":"Scientific Reports","issn_l":"2045-2322","issn":["2045-2322"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-c","doyens","jufo-1","ki-jl-1","medline","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Reports","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5683000087738037,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7158487573.pdf","grobid_xml":"https://content.openalex.org/works/W7158487573.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W1917647701","https://openalex.org/W2062177968","https://openalex.org/W2132162500","https://openalex.org/W2148309496","https://openalex.org/W2160408484","https://openalex.org/W2171664048","https://openalex.org/W2194775991","https://openalex.org/W2344480160","https://openalex.org/W2493683088","https://openalex.org/W2620578070","https://openalex.org/W2752782242","https://openalex.org/W2776937175","https://openalex.org/W2791942584","https://openalex.org/W2884585870","https://openalex.org/W2884988214","https://openalex.org/W2885824038","https://openalex.org/W2888358068","https://openalex.org/W2912354537","https://openalex.org/W2919115771","https://openalex.org/W2949306187","https://openalex.org/W2951243207","https://openalex.org/W2955532080","https://openalex.org/W2963091558","https://openalex.org/W2963446712","https://openalex.org/W3047083963","https://openalex.org/W4223899585","https://openalex.org/W4280616428","https://openalex.org/W4313415067","https://openalex.org/W4315754639","https://openalex.org/W4323035347","https://openalex.org/W4393094613","https://openalex.org/W4393935425","https://openalex.org/W4395008974","https://openalex.org/W4400721915","https://openalex.org/W4400781603","https://openalex.org/W4401199631","https://openalex.org/W4404328951","https://openalex.org/W4404436738","https://openalex.org/W4410735294","https://openalex.org/W4413557182","https://openalex.org/W4415721009","https://openalex.org/W4416291904","https://openalex.org/W7116049133","https://openalex.org/W7117101947","https://openalex.org/W7117577391","https://openalex.org/W7129616776"],"related_works":["https://openalex.org/W4287379322","https://openalex.org/W4400201371","https://openalex.org/W4392040428","https://openalex.org/W4409659741","https://openalex.org/W4413157657","https://openalex.org/W4414781713","https://openalex.org/W7214230153","https://openalex.org/W4391169916","https://openalex.org/W7213443167","https://openalex.org/W7202198802"],"abstract_inverted_index":{"Breast":[0],"cancer":[1],"remains":[2],"one":[3],"of":[4,17,118,264,291],"the":[5,14,18,41,115,155,182,193,204,262,289],"leading":[6],"malignancies":[7],"globally,":[8],"and":[9,53,61,91,100,125,132,138,151,159,167,203,230,235,253,278],"accurate":[10],"diagnostic":[11],"decisions":[12],"at":[13,190],"early":[15],"stages":[16],"disease":[19],"can":[20],"significantly":[21,287],"improve":[22],"patient":[23],"prognosis.":[24],"This":[25],"paper":[26],"introduces":[27],"a":[28,136,165,279],"new":[29],"ensemble":[30,170],"deep":[31],"learning":[32],"framework,":[33],"combining":[34],"three":[35,145,177],"specific":[36,116],"attention":[37,102,108,157,266,311,324],"mechanisms":[38],"tailored":[39,128],"to":[40,87,96,130,239,301,321],"breast":[42,70],"pathology":[43],"domain,":[44],"namely,":[45],"Multi-Scale":[46],"Channel":[47],"Attention":[48,51,56,306],"(MSCA),":[49],"Spatial-Morphological":[50],"(SMA),":[52],"Hierarchical":[54],"Dual":[55],"(HDA).":[57],"Unlike":[58],"generic":[59,322],"SENet":[60,234],"CBAM":[62,236],"mechanisms,":[63],"these":[64],"modules":[65],"are":[66],"specifically":[67],"designed":[68],"for":[69],"pathology:":[71],"MSCA":[72],"captures":[73],"nuclear-level":[74],"channel":[75],"statistics":[76],"across":[77,103,222],"multiple":[78],"pooling":[79],"scales,":[80],"SMA":[81,271],"applies":[82],"learnable":[83,122],"morphological":[84,123],"gradient":[85],"operators":[86],"tissue":[88],"boundary":[89],"regions,":[90],"HDA":[92,274],"employs":[93],"depth-dependent":[94],"gating":[95,127],"dynamically":[97],"balance":[98],"spatial":[99],"semantic":[101],"network":[104],"stages.":[105],"While":[106],"domain-adaptive":[107],"has":[109],"been":[110],"explored":[111],"in":[112],"medical":[113],"imaging,":[114],"combination":[117],"multi-scale":[119],"nuclear":[120],"statistics,":[121],"gradients,":[124],"depth-adaptive":[126],"jointly":[129],"histopathological":[131],"mammographic":[133],"imaging":[134],"represents":[135],"distinct":[137],"novel":[139],"architectural":[140],"contribution.":[141],"The":[142,211],"framework":[143,213],"incorporates":[144],"complementary":[146],"CNN":[147],"backbones":[148],"(ResNet-50,":[149],"DenseNet-121,":[150],"EfficientNet-B3)":[152],"augmented":[153],"with":[154,313],"proposed":[156,212],"modules,":[158],"intelligently":[160],"fuses":[161],"their":[162],"predictions":[163],"using":[164],"confidence-":[166],"performance-based":[168],"weighted":[169],"strategy.":[171],"Comprehensive":[172],"experiments":[173],"were":[174],"conducted":[175],"on":[176,242,293],"publicly":[178],"available":[179],"benchmark":[180],"datasets:":[181],"BreakHis":[183,243],"histopathology":[184],"dataset":[185,196,207],"(with":[186,197,208],"1,995":[187],"different":[188],"images":[189],"40\u00d7":[191],"magnification),":[192],"BACH":[194,248],"challenge":[195],"400":[198],"WSIs":[199],"producing":[200],"9,600":[201],"patches),":[202],"CBIS-DDSM":[205,254],"mammography":[206],"2,620":[209],"cases).":[210],"yields":[214],"statistically":[215],"significant":[216],"(p":[217],"<":[218],"0.05;":[219],"paired":[220],"t-test":[221],"five":[223],"folds)":[224],"improvements":[225],"upon":[226],"individual":[227],"backbone":[228],"constituents":[229],"surpasses":[231],"attention-augmented":[232],"baselines":[233],"by":[237],"up":[238],"1.8":[240],"pp":[241],"(95.6":[244],"\u00b1":[245,250,256],"0.5%":[246],"acc),":[247,252],"(91.3":[249],"0.8%":[251],"(93.7":[255],"1.0%":[257],"acc)":[258],"Ablation":[259],"studies":[260],"confirmed":[261],"contribution":[263],"each":[265],"module":[267],"(MSCA":[268],"+":[269,272,275],"1.6%,":[270],"1.2%,":[273],"1.0%)":[276],"individually,":[277],"clinical":[280],"reader":[281],"study":[282],"revealed":[283],"that":[284],"AI":[285],"assistance":[286],"improved":[288],"accuracy":[290],"pathologists":[292],"more":[294],"challenging":[295],"cases":[296],"(accuracy":[297],"increasing":[298],"from":[299],"85.4":[300],"90.2%;":[302],"p":[303],"=":[304,318,326],"0.012).":[305],"visualizations":[307],"exhibited":[308],"clinically":[309],"meaningful":[310],"overlap":[312],"pathologist-annotated":[314],"ROIs":[315],"(mean":[316],"IoU":[317],"0.76)":[319],"compared":[320],"CBAM-based":[323],"(IoU":[325],"0.59).":[327]},"counts_by_year":[{"year":2026,"cited_by_count":5}],"updated_date":"2026-11-12T12:28:57.059296","created_date":"2026-05-01T00:00:00"}