{"id":"https://openalex.org/W7126119399","doi":"https://doi.org/10.1109/bibm66473.2025.11356158","title":"Improving Instance-Based Whole Slide Image Classification with Logit-Based Log-Sum-Exp Aggregator and Contextual Awareness","display_name":"Improving Instance-Based Whole Slide Image Classification with Logit-Based Log-Sum-Exp Aggregator and Contextual Awareness","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7126119399","doi":"https://doi.org/10.1109/bibm66473.2025.11356158"},"language":null,"primary_location":{"id":"doi:10.1109/bibm66473.2025.11356158","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356158","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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":null,"display_name":"Wentao Pan","orcid":null},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Wentao Pan","raw_affiliation_strings":["The Chinese University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014222179","display_name":"Donghuan Lu","orcid":"https://orcid.org/0000-0002-8399-7410"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Donghuan Lu","raw_affiliation_strings":["Tencent Jarvis Lab"],"affiliations":[{"raw_affiliation_string":"Tencent Jarvis Lab","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013716631","display_name":"Jiangpeng Yan","orcid":"https://orcid.org/0000-0002-0767-1726"},"institutions":[{"id":"https://openalex.org/I4210107834","display_name":"Development Fund","ror":"https://ror.org/01rkhv978","country_code":"NO","type":"nonprofit","lineage":["https://openalex.org/I4210107834"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Jiangpeng Yan","raw_affiliation_strings":["E Fund"],"affiliations":[{"raw_affiliation_string":"E Fund","institution_ids":["https://openalex.org/I4210107834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047557442","display_name":"Zhe Xu","orcid":"https://orcid.org/0000-0002-3921-7499"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zhe Xu","raw_affiliation_strings":["The Chinese University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112954330","display_name":"Conghao Xiong","orcid":"https://orcid.org/0000-0003-0134-9397"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Conghao Xiong","raw_affiliation_strings":["The Chinese University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124152165","display_name":"Dong Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Wei","raw_affiliation_strings":["Tencent Jarvis Lab"],"affiliations":[{"raw_affiliation_string":"Tencent Jarvis Lab","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124216463","display_name":"Xian Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xian Wu","raw_affiliation_strings":["Tencent Jarvis Lab"],"affiliations":[{"raw_affiliation_string":"Tencent Jarvis Lab","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124181484","display_name":"Yixuan Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yixuan Yuan","raw_affiliation_strings":["The Chinese University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.85287751,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3979","last_page":"3984"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9284999966621399,"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":0.9284999966621399,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.013100000098347664,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.0071000000461936,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/news-aggregator","display_name":"News aggregator","score":0.6460000276565552},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5331000089645386},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5120999813079834},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.414900004863739},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.41260001063346863},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41119998693466187},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.3880000114440918},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.3853999972343445}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7623999714851379},{"id":"https://openalex.org/C180505990","wikidata":"https://www.wikidata.org/wiki/Q498267","display_name":"News aggregator","level":2,"score":0.6460000276565552},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6166999936103821},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5331000089645386},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5120999813079834},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.414900004863739},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.41260001063346863},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41119998693466187},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.3880000114440918},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.3853999972343445},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.3779999911785126},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.362199991941452},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.3158000111579895},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.31520000100135803},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.3102000057697296},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2953999936580658},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.29429998993873596},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.29179999232292175},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.2847999930381775},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2815999984741211},{"id":"https://openalex.org/C199579030","wikidata":"https://www.wikidata.org/wiki/Q2851778","display_name":"Automatic image annotation","level":4,"score":0.27959999442100525}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm66473.2025.11356158","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356158","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6578324437141418,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2531897166","https://openalex.org/W2772723798","https://openalex.org/W2956228567","https://openalex.org/W3034534840","https://openalex.org/W3135547872","https://openalex.org/W3176719058","https://openalex.org/W3203838058","https://openalex.org/W3214733388","https://openalex.org/W4221008486","https://openalex.org/W4312765357","https://openalex.org/W4379660291","https://openalex.org/W4385827562","https://openalex.org/W4387259074","https://openalex.org/W4392947521","https://openalex.org/W4392947532","https://openalex.org/W4403365605","https://openalex.org/W4404879644"],"related_works":[],"abstract_inverted_index":{"Cancer":[0],"has":[1],"become":[2],"a":[3,112,138],"leading":[4],"cause":[5],"of":[6,12,32,84,97,104,123],"death":[7],"worldwide,":[8],"making":[9],"the":[10,29,82,95,102,121,128,133,145,155,160],"development":[11],"intelligent":[13],"and":[14,25,39,47,60,69,88,100,126,136,164,175],"automatic":[15],"whole":[16],"slide":[17],"image":[18],"(WSI)":[19],"analysis":[20],"tools":[21],"crucial":[22],"for":[23,37],"diagnosis":[24],"treatment":[26],"decision-making.":[27],"However,":[28],"gigapixel":[30],"size":[31],"WSIs":[33],"poses":[34],"significant":[35],"challenges":[36],"annotation":[38],"analysis,":[40],"motivating":[41],"researchers":[42],"to":[43,93,119,143,178],"develop":[44],"both":[45],"label-":[46],"computational-efficient":[48],"algorithms.":[49],"While":[50],"existing":[51,179],"instance-based":[52,86],"methods":[53],"have":[54],"shown":[55],"promise":[56],"in":[57,132],"computational":[58,170],"efficiency":[59],"patch-wise":[61],"prediction,":[62,135],"they":[63],"often":[64],"struggle":[65],"with":[66,168],"classification":[67,162],"performance":[68,92,163],"lesion":[70,165],"localization":[71,166],"capabilities":[72],"on":[73,154,172],"pathological":[74],"images.":[75],"In":[76],"this":[77,108],"paper,":[78],"we":[79,110],"delve":[80],"into":[81],"limitations":[83],"current":[85],"approaches":[87],"attribute":[89],"such":[90],"inferior":[91],"(i)":[94],"overcontribution":[96],"normal":[98,124],"patches":[99,125],"(ii)":[101],"absence":[103],"contextual":[105,146],"information.":[106],"To":[107],"end,":[109],"propose":[111],"simple":[113],"yet":[114],"effective":[115],"logit-based":[116],"log-sum-exp":[117],"aggregator":[118],"modulate":[120],"contribution":[122,131],"highlight":[127],"tumorous":[129],"patches'":[130],"slide-wise":[134],"introduce":[137],"context-aware":[139],"feature":[140],"extraction":[141],"module":[142],"capture":[144],"patterns":[147],"from":[148],"neighborhood":[149],"patches.":[150],"Our":[151],"method":[152],"based":[153],"above":[156],"two":[157],"components":[158],"showcases":[159],"superior":[161],"ability":[167],"low":[169],"complexity":[171],"CAMELYON16,":[173],"TCGA-NSCLC,":[174],"BRACS":[176],"compared":[177],"methods.":[180]},"counts_by_year":[],"updated_date":"2026-03-25T23:56:10.502304","created_date":"2026-01-30T00:00:00"}