{"id":"https://openalex.org/W4402980415","doi":"https://doi.org/10.1109/icme57554.2024.10687771","title":"Second-Order Self-Supervised Learning for Breast Cancer Classification","display_name":"Second-Order Self-Supervised Learning for Breast Cancer Classification","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4402980415","doi":"https://doi.org/10.1109/icme57554.2024.10687771"},"language":"en","primary_location":{"id":"doi:10.1109/icme57554.2024.10687771","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme57554.2024.10687771","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","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/A5061055212","display_name":"Haitao Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I61565387","display_name":"Dalian Minzu University","ror":"https://ror.org/02hxfx521","country_code":"CN","type":"education","lineage":["https://openalex.org/I61565387"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haitao Yao","raw_affiliation_strings":["Dalian Minzu University"],"affiliations":[{"raw_affiliation_string":"Dalian Minzu University","institution_ids":["https://openalex.org/I61565387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100732688","display_name":"Zhenwei Wang","orcid":"https://orcid.org/0000-0002-1627-6082"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenwei Wang","raw_affiliation_strings":["Dalian University of Technology"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101782837","display_name":"Mingli Zhang","orcid":"https://orcid.org/0000-0001-5801-5692"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mingli Zhang","raw_affiliation_strings":["Mcgill University"],"affiliations":[{"raw_affiliation_string":"Mcgill University","institution_ids":["https://openalex.org/I5023651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046466941","display_name":"Wen Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I191996457","display_name":"Dalian Medical University","ror":"https://ror.org/04c8eg608","country_code":"CN","type":"education","lineage":["https://openalex.org/I191996457"]},{"id":"https://openalex.org/I4210140813","display_name":"First Affiliated Hospital of Dalian Medical University","ror":"https://ror.org/055w74b96","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210140813"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Zhu","raw_affiliation_strings":["The First Affiliated Hospital of Dalian Medical University"],"affiliations":[{"raw_affiliation_string":"The First Affiliated Hospital of Dalian Medical University","institution_ids":["https://openalex.org/I191996457","https://openalex.org/I4210140813"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100663891","display_name":"Lizhi Zhang","orcid":"https://orcid.org/0000-0001-5829-9234"},"institutions":[{"id":"https://openalex.org/I4210140813","display_name":"First Affiliated Hospital of Dalian Medical University","ror":"https://ror.org/055w74b96","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210140813"]},{"id":"https://openalex.org/I191996457","display_name":"Dalian Medical University","ror":"https://ror.org/04c8eg608","country_code":"CN","type":"education","lineage":["https://openalex.org/I191996457"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lizhi Zhang","raw_affiliation_strings":["The First Affiliated Hospital of Dalian Medical University"],"affiliations":[{"raw_affiliation_string":"The First Affiliated Hospital of Dalian Medical University","institution_ids":["https://openalex.org/I191996457","https://openalex.org/I4210140813"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015702237","display_name":"Lijun He","orcid":"https://orcid.org/0000-0002-8255-6103"},"institutions":[{"id":"https://openalex.org/I61565387","display_name":"Dalian Minzu University","ror":"https://ror.org/02hxfx521","country_code":"CN","type":"education","lineage":["https://openalex.org/I61565387"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijun He","raw_affiliation_strings":["Dalian Minzu University"],"affiliations":[{"raw_affiliation_string":"Dalian Minzu University","institution_ids":["https://openalex.org/I61565387"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100413539","display_name":"Jianxin Zhang","orcid":"https://orcid.org/0000-0001-8165-1371"},"institutions":[{"id":"https://openalex.org/I61565387","display_name":"Dalian Minzu University","ror":"https://ror.org/02hxfx521","country_code":"CN","type":"education","lineage":["https://openalex.org/I61565387"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianxin Zhang","raw_affiliation_strings":["Dalian Minzu University"],"affiliations":[{"raw_affiliation_string":"Dalian Minzu University","institution_ids":["https://openalex.org/I61565387"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5061055212"],"corresponding_institution_ids":["https://openalex.org/I61565387"],"apc_list":null,"apc_paid":null,"fwci":0.3637,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.67333994,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9746999740600586,"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":0.9746999740600586,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6339151859283447},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5453609228134155},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5215720534324646},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.46366479992866516},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.4431014657020569},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.43939119577407837},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.18384835124015808},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.11133250594139099},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.05727216601371765}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6339151859283447},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5453609228134155},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5215720534324646},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.46366479992866516},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.4431014657020569},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.43939119577407837},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.18384835124015808},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.11133250594139099},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.05727216601371765}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme57554.2024.10687771","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme57554.2024.10687771","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320311687","display_name":"Ministry of Education","ror":"https://ror.org/03m01yf64"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2760946358","https://openalex.org/W2772723798","https://openalex.org/W2956228567","https://openalex.org/W2962761264","https://openalex.org/W2971376088","https://openalex.org/W3159481202","https://openalex.org/W3175971657","https://openalex.org/W3176719058","https://openalex.org/W4221077905","https://openalex.org/W4283219407","https://openalex.org/W4309903747","https://openalex.org/W4312468136","https://openalex.org/W4312765357","https://openalex.org/W4386076092","https://openalex.org/W4386857835","https://openalex.org/W4388749929","https://openalex.org/W4390874079"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Multiple":[0],"instance":[1],"learning":[2,43,67],"(MIL),":[3],"which":[4],"adopts":[5],"instance-level":[6,82],"feature":[7,111],"encoders":[8],"in":[9,89],"a":[10,40,90,95],"weakly":[11],"supervised":[12],"manner,":[13],"efficiently":[14],"classifies":[15],"cancers":[16],"on":[17,119],"whole":[18],"slide":[19],"images":[20],"(WSis).":[21],"Nevertheless,":[22],"the":[23,31,47,81,102,130],"lack":[24],"of":[25,33,105],"fine-grained":[26],"annotation":[27],"samples":[28],"still":[29],"limits":[30],"performance":[32],"existing":[34],"MIL":[35,48,132],"models.":[36],"Therefore,":[37],"we":[38],"propose":[39],"second-order":[41,87,106],"self-supervised":[42,66],"method":[44],"integrated":[45],"with":[46,129],"structure,":[49],"called":[50],"SoS2MIL,":[51],"for":[52],"breast":[53],"cancer":[54],"classification.":[55],"Specifically,":[56],"SoS2MIL":[57],"explores":[58],"intrinsic":[59],"structural":[60],"information":[61,73],"within":[62],"WSI":[63],"instances":[64],"using":[65],"that":[68],"does":[69],"not":[70],"require":[71],"label":[72],"to":[74,100],"identify":[75],"discriminative":[76],"instances.":[77],"Then,":[78],"it":[79],"improves":[80],"classifier":[83],"concentration":[84],"by":[85,113],"introducing":[86],"pooling":[88],"visual":[91],"perception":[92],"module.":[93],"Besides,":[94],"grouping":[96],"strategy":[97],"is":[98],"proposed":[99],"reduce":[101],"computational":[103],"cost":[104],"calculations":[107],"and":[108,121,127],"effectively":[109],"approximate":[110],"distributions":[112],"combining":[114],"first-order":[115],"features.":[116],"Experimental":[117],"results":[118],"public":[120],"private":[122],"datasets":[123],"verify":[124],"its":[125],"effectiveness":[126],"competitiveness":[128],"state-of-the-art":[131],"works.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}