{"id":"https://openalex.org/W4372269208","doi":"https://doi.org/10.1109/icassp49357.2023.10094946","title":"Classifying Pathological Images Based on Multi-Instance Learning and End-to-End Attention Pooling","display_name":"Classifying Pathological Images Based on Multi-Instance Learning and End-to-End Attention Pooling","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372269208","doi":"https://doi.org/10.1109/icassp49357.2023.10094946"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10094946","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10094946","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100752260","display_name":"Yuqi Chen","orcid":"https://orcid.org/0000-0002-5635-3409"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210105595","display_name":"Institute of Art","ror":"https://ror.org/017fyx225","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210105595","https://openalex.org/I99542240"]},{"id":"https://openalex.org/I4210164862","display_name":"Artificial Intelligence in Medicine (Canada)","ror":"https://ror.org/05p590m36","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210164862"]}],"countries":["CA","CN","PL"],"is_corresponding":false,"raw_author_name":"Yuqi Chen","raw_affiliation_strings":["Wuhan University,Institute of Artificial Intelligence, School of Computer Science","Institute of Artificial Intelligence, School of Computer Science, Wuhan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University,Institute of Artificial Intelligence, School of Computer Science","institution_ids":["https://openalex.org/I4210164862"]},{"raw_affiliation_string":"Institute of Artificial Intelligence, School of Computer Science, Wuhan University","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210105595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100446290","display_name":"Juan Liu","orcid":"https://orcid.org/0000-0001-9344-7415"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210105595","display_name":"Institute of Art","ror":"https://ror.org/017fyx225","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210105595","https://openalex.org/I99542240"]},{"id":"https://openalex.org/I4210164862","display_name":"Artificial Intelligence in Medicine (Canada)","ror":"https://ror.org/05p590m36","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210164862"]}],"countries":["CA","CN","PL"],"is_corresponding":false,"raw_author_name":"Juan Liu","raw_affiliation_strings":["Wuhan University,Institute of Artificial Intelligence, School of Computer Science","Institute of Artificial Intelligence, School of Computer Science, Wuhan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University,Institute of Artificial Intelligence, School of Computer Science","institution_ids":["https://openalex.org/I4210164862"]},{"raw_affiliation_string":"Institute of Artificial Intelligence, School of Computer Science, Wuhan University","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210105595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059269708","display_name":"Zhiqun Zuo","orcid":"https://orcid.org/0000-0001-5469-2725"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210105595","display_name":"Institute of Art","ror":"https://ror.org/017fyx225","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210105595","https://openalex.org/I99542240"]},{"id":"https://openalex.org/I4210164862","display_name":"Artificial Intelligence in Medicine (Canada)","ror":"https://ror.org/05p590m36","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210164862"]}],"countries":["CA","CN","PL"],"is_corresponding":false,"raw_author_name":"Zhiqun Zuo","raw_affiliation_strings":["Wuhan University,Institute of Artificial Intelligence, School of Computer Science","Institute of Artificial Intelligence, School of Computer Science, Wuhan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University,Institute of Artificial Intelligence, School of Computer Science","institution_ids":["https://openalex.org/I4210164862"]},{"raw_affiliation_string":"Institute of Artificial Intelligence, School of Computer Science, Wuhan University","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210105595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038504786","display_name":"Peng Jiang","orcid":"https://orcid.org/0000-0003-2642-1949"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210105595","display_name":"Institute of Art","ror":"https://ror.org/017fyx225","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210105595","https://openalex.org/I99542240"]},{"id":"https://openalex.org/I4210164862","display_name":"Artificial Intelligence in Medicine (Canada)","ror":"https://ror.org/05p590m36","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210164862"]}],"countries":["CA","CN","PL"],"is_corresponding":false,"raw_author_name":"Peng Jiang","raw_affiliation_strings":["Wuhan University,Institute of Artificial Intelligence, School of Computer Science","Institute of Artificial Intelligence, School of Computer Science, Wuhan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University,Institute of Artificial Intelligence, School of Computer Science","institution_ids":["https://openalex.org/I4210164862"]},{"raw_affiliation_string":"Institute of Artificial Intelligence, School of Computer Science, Wuhan University","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210105595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000135837","display_name":"Jin Yu","orcid":"https://orcid.org/0000-0001-8224-1374"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210105595","display_name":"Institute of Art","ror":"https://ror.org/017fyx225","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210105595","https://openalex.org/I99542240"]},{"id":"https://openalex.org/I4210164862","display_name":"Artificial Intelligence in Medicine (Canada)","ror":"https://ror.org/05p590m36","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210164862"]}],"countries":["CA","CN","PL"],"is_corresponding":false,"raw_author_name":"Yu Jin","raw_affiliation_strings":["Wuhan University,Institute of Artificial Intelligence, School of Computer Science","Institute of Artificial Intelligence, School of Computer Science, Wuhan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University,Institute of Artificial Intelligence, School of Computer Science","institution_ids":["https://openalex.org/I4210164862"]},{"raw_affiliation_string":"Institute of Artificial Intelligence, School of Computer Science, Wuhan University","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210105595"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074611876","display_name":"Guangsheng Wu","orcid":"https://orcid.org/0000-0002-4137-7336"},"institutions":[{"id":"https://openalex.org/I4210109434","display_name":"Xinyu University","ror":"https://ror.org/021xwcd05","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210109434"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangsheng Wu","raw_affiliation_strings":["Xinyu University,School of Mathematics and Computer Science","School of Mathematics and Computer Science, Xinyu University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xinyu University,School of Mathematics and Computer Science","institution_ids":["https://openalex.org/I4210109434"]},{"raw_affiliation_string":"School of Mathematics and Computer Science, Xinyu University","institution_ids":["https://openalex.org/I4210109434"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9991999864578247,"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":0.9991999864578247,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9934999942779541,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9898999929428101,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7830690145492554},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7684086561203003},{"id":"https://openalex.org/keywords/softmax-function","display_name":"Softmax function","score":0.7572437524795532},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.7467430830001831},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.6733563542366028},{"id":"https://openalex.org/keywords/end-to-end-principle","display_name":"End-to-end principle","score":0.594977617263794},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5935397744178772},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5548756122589111},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.48554274439811707},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45665183663368225},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43800050020217896},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4273579716682434},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2676251530647278}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7830690145492554},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7684086561203003},{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.7572437524795532},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7467430830001831},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.6733563542366028},{"id":"https://openalex.org/C74296488","wikidata":"https://www.wikidata.org/wiki/Q2527392","display_name":"End-to-end principle","level":2,"score":0.594977617263794},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5935397744178772},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5548756122589111},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.48554274439811707},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45665183663368225},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43800050020217896},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4273579716682434},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2676251530647278},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10094946","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10094946","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329542","display_name":"Zhongnan Hospital of Wuhan University","ror":"https://ror.org/01v5mqw79"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2056499382","https://openalex.org/W2085721351","https://openalex.org/W2093030207","https://openalex.org/W2110119381","https://openalex.org/W2785934082","https://openalex.org/W2900118953","https://openalex.org/W2956228567","https://openalex.org/W3034885317","https://openalex.org/W3048952023","https://openalex.org/W3163306278","https://openalex.org/W3192524834","https://openalex.org/W3200791433","https://openalex.org/W4205111810","https://openalex.org/W4210801462","https://openalex.org/W4281657029","https://openalex.org/W4283786398","https://openalex.org/W6747701563"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W3107204728","https://openalex.org/W4287591324","https://openalex.org/W4226420367","https://openalex.org/W3134502938","https://openalex.org/W2748667022","https://openalex.org/W3211770882","https://openalex.org/W4229443568","https://openalex.org/W2010629964","https://openalex.org/W2983135586"],"abstract_inverted_index":{"In":[0,54],"order":[1],"to":[2,48,119,145],"address":[3],"the":[4,50,71,76,95,103,109,116,121,129,146,160],"issue":[5],"that":[6,45,87,128],"previous":[7],"deep":[8],"learning":[9,30,66],"methods":[10],"for":[11],"classifying":[12],"pathological":[13,96,135],"images":[14,136],"cannot":[15],"adaptively":[16],"learn":[17],"features,":[18],"we":[19,107],"propose":[20],"an":[21,83,89],"end-to-end":[22,84],"attention":[23,90,139],"pooling":[24],"method":[25,35,60,67],"based":[26],"on":[27,150],"a":[28,42,57,64,156],"multi-instance":[29,65],"patch":[31,58],"scoring":[32,59,78],"model.":[33],"Our":[34],"integrates":[36],"feature":[37,122],"extraction":[38,123],"and":[39,69,124],"classification":[40,85,98,147],"into":[41],"unified":[43],"framework":[44],"is":[46,61],"conducive":[47],"extracting":[49],"most":[51],"valuable":[52],"features.":[53],"this":[55],"model,":[56],"constructed":[62],"by":[63,75],"firstly":[68],"then":[70],"partial":[72],"patches":[73,77,132],"selected":[74],"model":[79,86],"are":[80],"classified":[81],"using":[82],"incorporates":[88],"pooled":[91],"mechanism.":[92],"To":[93],"make":[94],"image":[97],"mechanism":[99],"more":[100,138],"compatible":[101],"with":[102],"pathologist":[104],"diagnosis":[105],"method,":[106],"use":[108],"squared":[110],"average":[111],"normalization":[112],"function":[113,118],"instead":[114],"of":[115,162],"softmax":[117],"optimize":[120],"fusion":[125],"process,":[126],"so":[127],"high":[130],"score":[131],"in":[133,159],"positive":[134],"receive":[137],"weights,":[140],"thus":[141],"giving":[142],"better":[143],"interpretability":[144],"results.":[148],"Experiments":[149],"publicly":[151],"available":[152],"datasets":[153],"TCGA_BRCA":[154],"show":[155],"significant":[157],"improvement":[158],"performance":[161],"our":[163],"approach":[164],"over":[165],"other":[166],"work.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
