{"id":"https://openalex.org/W4313525579","doi":"https://doi.org/10.1109/bibm55620.2022.9995014","title":"Classifying Cervical Histopathological Whole Slide Images via Deep Multi-Instance Transfer Learning","display_name":"Classifying Cervical Histopathological Whole Slide Images via Deep Multi-Instance Transfer Learning","publication_year":2022,"publication_date":"2022-12-06","ids":{"openalex":"https://openalex.org/W4313525579","doi":"https://doi.org/10.1109/bibm55620.2022.9995014"},"language":"en","primary_location":{"id":"doi:10.1109/bibm55620.2022.9995014","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm55620.2022.9995014","pdf_url":null,"source":{"id":"https://openalex.org/S4363607730","display_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 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":"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"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Peng Jiang","raw_affiliation_strings":["Wuhan University,Institute of Artificial Intelligence School of Computer Science,Wuhan,China,430072"],"affiliations":[{"raw_affiliation_string":"Wuhan University,Institute of Artificial Intelligence School of Computer Science,Wuhan,China,430072","institution_ids":["https://openalex.org/I37461747"]}]},{"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juan Liu","raw_affiliation_strings":["Wuhan University,Institute of Artificial Intelligence School of Computer Science,Wuhan,China,430072"],"affiliations":[{"raw_affiliation_string":"Wuhan University,Institute of Artificial Intelligence School of Computer Science,Wuhan,China,430072","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100689691","display_name":"Lang Wang","orcid":"https://orcid.org/0000-0002-8303-5633"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lang Wang","raw_affiliation_strings":["Wuhan University,Institute of Artificial Intelligence School of Computer Science,Wuhan,China,430072"],"affiliations":[{"raw_affiliation_string":"Wuhan University,Institute of Artificial Intelligence School of Computer Science,Wuhan,China,430072","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102940907","display_name":"Jing Feng","orcid":"https://orcid.org/0000-0002-7425-2994"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Feng","raw_affiliation_strings":["Wuhan University,Institute of Artificial Intelligence School of Computer Science,Wuhan,China,430072"],"affiliations":[{"raw_affiliation_string":"Wuhan University,Institute of Artificial Intelligence School of Computer Science,Wuhan,China,430072","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058197209","display_name":"Dehua Cao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dehua Cao","raw_affiliation_strings":["Landing Intelligence Med. Co., Ltd,AI Center for Pathological Diagnosis,Wuhan,China,430070"],"affiliations":[{"raw_affiliation_string":"Landing Intelligence Med. Co., Ltd,AI Center for Pathological Diagnosis,Wuhan,China,430070","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110954839","display_name":"Baochuan Pang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Baochuan Pang","raw_affiliation_strings":["Landing Intelligence Med. Co., Ltd,AI Center for Pathological Diagnosis,Wuhan,China,430070"],"affiliations":[{"raw_affiliation_string":"Landing Intelligence Med. Co., Ltd,AI Center for Pathological Diagnosis,Wuhan,China,430070","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5038504786"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":0.4155,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.59965525,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2302","last_page":"2307"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9994000196456909,"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":0.9994000196456909,"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/T10146","display_name":"Cervical Cancer and HPV Research","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9689000248908997,"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":0.7122884392738342},{"id":"https://openalex.org/keywords/histopathology","display_name":"Histopathology","score":0.7077815532684326},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6984688639640808},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6380718350410461},{"id":"https://openalex.org/keywords/cervical-cancer","display_name":"Cervical cancer","score":0.5589282512664795},{"id":"https://openalex.org/keywords/digital-pathology","display_name":"Digital pathology","score":0.5560328364372253},{"id":"https://openalex.org/keywords/histopathological-examination","display_name":"Histopathological examination","score":0.4687037169933319},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4642795920372009},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45063725113868713},{"id":"https://openalex.org/keywords/gold-standard","display_name":"Gold standard (test)","score":0.42300453782081604},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.39178767800331116},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3650735318660736},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.35456228256225586},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.327387273311615},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.22484034299850464}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7122884392738342},{"id":"https://openalex.org/C544855455","wikidata":"https://www.wikidata.org/wiki/Q1070952","display_name":"Histopathology","level":2,"score":0.7077815532684326},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6984688639640808},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6380718350410461},{"id":"https://openalex.org/C2778220009","wikidata":"https://www.wikidata.org/wiki/Q160105","display_name":"Cervical cancer","level":3,"score":0.5589282512664795},{"id":"https://openalex.org/C2777522853","wikidata":"https://www.wikidata.org/wiki/Q5276128","display_name":"Digital pathology","level":2,"score":0.5560328364372253},{"id":"https://openalex.org/C3020547009","wikidata":"https://www.wikidata.org/wiki/Q1070952","display_name":"Histopathological examination","level":2,"score":0.4687037169933319},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4642795920372009},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45063725113868713},{"id":"https://openalex.org/C40993552","wikidata":"https://www.wikidata.org/wiki/Q514654","display_name":"Gold standard (test)","level":2,"score":0.42300453782081604},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.39178767800331116},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3650735318660736},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.35456228256225586},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.327387273311615},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.22484034299850464},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm55620.2022.9995014","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm55620.2022.9995014","pdf_url":null,"source":{"id":"https://openalex.org/S4363607730","display_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.6600000262260437}],"awards":[],"funders":[{"id":"https://openalex.org/F4320324116","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2132162500","https://openalex.org/W2474421929","https://openalex.org/W2620578070","https://openalex.org/W2658641687","https://openalex.org/W2760946358","https://openalex.org/W2901612843","https://openalex.org/W2956228567","https://openalex.org/W2962898707","https://openalex.org/W3118232860","https://openalex.org/W3128646645","https://openalex.org/W3135547872","https://openalex.org/W3165295119","https://openalex.org/W3172375847","https://openalex.org/W3176719058","https://openalex.org/W3200270857","https://openalex.org/W3202910984","https://openalex.org/W4220679340","https://openalex.org/W4226190792","https://openalex.org/W6631190155","https://openalex.org/W6721136770","https://openalex.org/W6776633262"],"related_works":["https://openalex.org/W4294739205","https://openalex.org/W2379235935","https://openalex.org/W1992757539","https://openalex.org/W3148846326","https://openalex.org/W3216010008","https://openalex.org/W2615663256","https://openalex.org/W3166244575","https://openalex.org/W4236756643","https://openalex.org/W3015775501","https://openalex.org/W4206912846"],"abstract_inverted_index":{"The":[0,28,119,160],"cervical":[1,10,39,58,67,104],"histopathology":[2],"analysis":[3],"result":[4],"is":[5,23],"the":[6,35,38,66,95,124,127,130,136,140,144,166],"gold":[7],"standard":[8],"for":[9,57,102,122,134],"cancer":[11],"diagnosis.":[12],"Conventional":[13],"histopathological":[14,40,68,105],"examination":[15],"depends":[16],"on":[17,150],"pathologists\u2019":[18],"observation":[19],"under":[20],"microscope,":[21],"which":[22,81],"notoriously":[24],"labor-intensive":[25],"and":[26,114,129,146,156],"subjective.":[27],"popularization":[29],"of":[30,37,80,86,126,139,169],"digital":[31],"pathology":[32],"technology":[33],"makes":[34],"collection":[36],"whole":[41],"slide":[42],"images":[43],"(WSIs)":[44],"more":[45],"convenient,":[46],"so":[47],"it":[48],"has":[49],"become":[50],"possible":[51],"to":[52,154],"develop":[53],"computer-aided":[54],"diagnosis":[55,75],"methods":[56],"cancer.":[59],"In":[60],"this":[61],"work,":[62],"we":[63,98],"first":[64],"collected":[65,152],"WSIs":[69,83,106,153],"from":[70],"917":[71],"patients":[72],"with":[73],"pathological":[74],"through":[76],"a":[77,100],"retrospective":[78],"study,":[79],"286":[82],"contained":[84],"annotations":[85],"several":[87],"lesion":[88],"areas":[89],"that":[90,165],"were":[91],"manually":[92],"outlined":[93],"by":[94,107],"pathologists.":[96],"Then":[97],"proposed":[99,171],"method":[101],"classifying":[103],"combining":[108],"deep":[109],"multi-instance":[110],"transfer":[111],"learning":[112,123],"(DMITL)":[113],"support":[115],"vector":[116],"machine":[117],"(SVM).":[118],"DMITL":[120],"aimed":[121],"representations":[125],"WSIs,":[128],"SVM":[131],"was":[132],"used":[133],"building":[135],"classification":[137],"model":[138],"WSIs.":[141],"We":[142],"generated":[143],"training":[145],"test":[147],"sets":[148],"based":[149],"our":[151,158,170],"train":[155],"evaluate":[157],"method.":[159,172],"validation":[161],"results":[162],"have":[163],"shown":[164],"good":[167],"performance":[168]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}