{"id":"https://openalex.org/W4309899698","doi":"https://doi.org/10.3389/fcomp.2022.1054158","title":"A coarse-to-fine and automatic algorithm for breast diagnosis on multi-series MRI images","display_name":"A coarse-to-fine and automatic algorithm for breast diagnosis on multi-series MRI images","publication_year":2022,"publication_date":"2022-11-24","ids":{"openalex":"https://openalex.org/W4309899698","doi":"https://doi.org/10.3389/fcomp.2022.1054158"},"language":"en","primary_location":{"id":"doi:10.3389/fcomp.2022.1054158","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fcomp.2022.1054158","pdf_url":"https://www.frontiersin.org/articles/10.3389/fcomp.2022.1054158/pdf","source":{"id":"https://openalex.org/S4210211086","display_name":"Frontiers in Computer Science","issn_l":"2624-9898","issn":["2624-9898"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Computer Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.frontiersin.org/articles/10.3389/fcomp.2022.1054158/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Hongwei Xue","orcid":null},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]},{"id":"https://openalex.org/I4210160344","display_name":"Tongji Hospital","ror":"https://ror.org/04xy45965","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210160344"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongwei Xue","raw_affiliation_strings":["Department of Radiology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780","https://openalex.org/I4210160344"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007016042","display_name":"Guangwu Qian","orcid":"https://orcid.org/0000-0001-9241-1699"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangwu Qian","raw_affiliation_strings":["Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101431482","display_name":"Xiaofen Wu","orcid":"https://orcid.org/0000-0002-4534-4638"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]},{"id":"https://openalex.org/I4210160344","display_name":"Tongji Hospital","ror":"https://ror.org/04xy45965","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210160344"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofen Wu","raw_affiliation_strings":["Department of Radiology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780","https://openalex.org/I4210160344"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062662220","display_name":"Yan Gao","orcid":"https://orcid.org/0000-0003-3814-5750"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]},{"id":"https://openalex.org/I4210160344","display_name":"Tongji Hospital","ror":"https://ror.org/04xy45965","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210160344"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Gao","raw_affiliation_strings":["Department of Radiology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780","https://openalex.org/I4210160344"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102933901","display_name":"Hongguang Yang","orcid":"https://orcid.org/0009-0005-2670-5791"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hongguang Yang","raw_affiliation_strings":["AI Research Lab, Imsight Technology Co., Ltd., Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI Research Lab, Imsight Technology Co., Ltd., Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060002668","display_name":"Mingqian Liu","orcid":"https://orcid.org/0000-0001-9872-9710"},"institutions":[{"id":"https://openalex.org/I4210118940","display_name":"Winning Health Technology Group (China)","ror":"https://ror.org/02ad5vq71","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210118940"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingqian Liu","raw_affiliation_strings":["Winning Health Technology Group Co., Ltd., Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Winning Health Technology Group Co., Ltd., Shanghai, China","institution_ids":["https://openalex.org/I4210118940"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105352094","display_name":"Lei Wang","orcid":"https://orcid.org/0009-0007-0377-4094"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]},{"id":"https://openalex.org/I4210160344","display_name":"Tongji Hospital","ror":"https://ror.org/04xy45965","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210160344"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Wang","raw_affiliation_strings":["Department of Radiology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780","https://openalex.org/I4210160344"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101898623","display_name":"Renfei Chen","orcid":"https://orcid.org/0000-0001-6226-5264"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Renfei Chen","raw_affiliation_strings":["AI Research Lab, Imsight Technology Co., Ltd., Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI Research Lab, Imsight Technology Co., Ltd., Shenzhen, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100753884","display_name":"Peijun Wang","orcid":"https://orcid.org/0000-0001-8438-095X"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]},{"id":"https://openalex.org/I4210160344","display_name":"Tongji Hospital","ror":"https://ror.org/04xy45965","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210160344"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Peijun Wang","raw_affiliation_strings":["Department of Radiology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780","https://openalex.org/I4210160344"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5100753884"],"corresponding_institution_ids":["https://openalex.org/I116953780","https://openalex.org/I4210160344"],"apc_list":{"value":1150,"currency":"USD","value_usd":1150},"apc_paid":{"value":1150,"currency":"USD","value_usd":1150},"fwci":0.1389,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.56150206,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"4","issue":null,"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":0.9997000098228455,"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":0.9997000098228455,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9991000294685364,"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"}},{"id":"https://openalex.org/T11885","display_name":"MRI in cancer diagnosis","score":0.9911999702453613,"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/computer-science","display_name":"Computer science","score":0.702424168586731},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6611481308937073},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5943974256515503},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5859209299087524},{"id":"https://openalex.org/keywords/breast-mri","display_name":"Breast MRI","score":0.5225862264633179},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5064386129379272},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.4888007342815399},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.45534026622772217},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4443947672843933},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43796107172966003},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.3601292371749878},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.27122962474823},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2098456621170044},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.15508711338043213},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.11438193917274475}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.702424168586731},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6611481308937073},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5943974256515503},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5859209299087524},{"id":"https://openalex.org/C2777111374","wikidata":"https://www.wikidata.org/wiki/Q4959770","display_name":"Breast MRI","level":5,"score":0.5225862264633179},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5064386129379272},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.4888007342815399},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.45534026622772217},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4443947672843933},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43796107172966003},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.3601292371749878},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.27122962474823},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2098456621170044},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.15508711338043213},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.11438193917274475},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3389/fcomp.2022.1054158","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fcomp.2022.1054158","pdf_url":"https://www.frontiersin.org/articles/10.3389/fcomp.2022.1054158/pdf","source":{"id":"https://openalex.org/S4210211086","display_name":"Frontiers in Computer Science","issn_l":"2624-9898","issn":["2624-9898"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Computer Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7b8d295565c94e5c84bb18dafdd34e92","is_oa":true,"landing_page_url":"https://doaj.org/article/7b8d295565c94e5c84bb18dafdd34e92","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,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Frontiers in Computer Science, Vol 4 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3389/fcomp.2022.1054158","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fcomp.2022.1054158","pdf_url":"https://www.frontiersin.org/articles/10.3389/fcomp.2022.1054158/pdf","source":{"id":"https://openalex.org/S4210211086","display_name":"Frontiers in Computer Science","issn_l":"2624-9898","issn":["2624-9898"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3076905750","display_name":null,"funder_award_id":"2017YFC0112800","funder_id":"https://openalex.org/F4320321540","funder_display_name":"Ministry of Science and Technology of the People's Republic of China"},{"id":"https://openalex.org/G5917414756","display_name":null,"funder_award_id":"XX-XXFZ-02-17-4126","funder_id":"https://openalex.org/F4320325413","funder_display_name":"Shanghai Municipal Commission of Economy and Informatization"},{"id":"https://openalex.org/G909687582","display_name":null,"funder_award_id":"17411952300","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"}],"funders":[{"id":"https://openalex.org/F4320321540","display_name":"Ministry of Science and Technology of the People's Republic of China","ror":"https://ror.org/027s68j25"},{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"},{"id":"https://openalex.org/F4320325413","display_name":"Shanghai Municipal Commission of Economy and Informatization","ror":"https://ror.org/04166ws88"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4309899698.pdf","grobid_xml":"https://content.openalex.org/works/W4309899698.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W1975637854","https://openalex.org/W2007754818","https://openalex.org/W2022748280","https://openalex.org/W2042718506","https://openalex.org/W2052991248","https://openalex.org/W2059414129","https://openalex.org/W2108598243","https://openalex.org/W2110984362","https://openalex.org/W2153110463","https://openalex.org/W2154108863","https://openalex.org/W2186213130","https://openalex.org/W2244833639","https://openalex.org/W2464708700","https://openalex.org/W2559655401","https://openalex.org/W2582996697","https://openalex.org/W2585890928","https://openalex.org/W2590417095","https://openalex.org/W2596337217","https://openalex.org/W2607363228","https://openalex.org/W2782947650","https://openalex.org/W2886631960","https://openalex.org/W2889646458","https://openalex.org/W2894346832","https://openalex.org/W2924927402","https://openalex.org/W2926848333","https://openalex.org/W2963849369","https://openalex.org/W2963900105","https://openalex.org/W2964043069","https://openalex.org/W2964227007","https://openalex.org/W2980248665","https://openalex.org/W4238100585","https://openalex.org/W4246999471","https://openalex.org/W4249914127","https://openalex.org/W4252849117","https://openalex.org/W4301409532","https://openalex.org/W4301597955","https://openalex.org/W6629262093","https://openalex.org/W6638667902","https://openalex.org/W6639824700","https://openalex.org/W6640054144","https://openalex.org/W6649997766","https://openalex.org/W6682137061","https://openalex.org/W6718240422","https://openalex.org/W6725739302","https://openalex.org/W6732781371","https://openalex.org/W6734285614","https://openalex.org/W6736302784","https://openalex.org/W6737137598","https://openalex.org/W6742348326","https://openalex.org/W6743615022","https://openalex.org/W6747935434","https://openalex.org/W6750469568","https://openalex.org/W6751436507","https://openalex.org/W6751733626","https://openalex.org/W7008306360"],"related_works":["https://openalex.org/W1919101720","https://openalex.org/W3021493803","https://openalex.org/W2257755506","https://openalex.org/W2011111248","https://openalex.org/W4256129901","https://openalex.org/W2002934375","https://openalex.org/W2006468016","https://openalex.org/W2912860444","https://openalex.org/W4390822878","https://openalex.org/W1907269663"],"abstract_inverted_index":{"Introduction":[0],"Early":[1],"breast":[2,49,62,104,118,285],"carcinomas":[3],"can":[4],"be":[5],"effectively":[6],"diagnosed":[7],"and":[8,15,42,65,122,162,188,267,308,311,321,327,340,343,348,377,412,425],"controlled.":[9],"However,":[10],"it":[11,365],"demands":[12],"extra":[13],"work":[14],"radiologist":[16],"in":[17,130,150,184,216,354,388],"China":[18],"often":[19],"suffer":[20],"from":[21,238,242,359,373],"overtime":[22],"working":[23],"due":[24],"to":[25,98,116,142,229,368],"too":[26],"many":[27],"patients,":[28],"even":[29],"experienced":[30],"ones":[31],"could":[32],"make":[33],"mistakes":[34],"after":[35],"overloaded":[36],"work.":[37],"To":[38],"improve":[39],"the":[40,44,75,151,159,163,177,181,199,212,246,259,305,313,331,360,374,382,400,431],"efficiency":[41],"reduce":[43],"rate":[45],"of":[46,77,83,87,102,158,220,257,261,272,282,291,399],"misdiagnosis,":[47],"automatic":[48,78,103],"diagnosis":[50,105],"on":[51,106,233,284,304,316],"Magnetic":[52],"Resonance":[53],"Imaging":[54],"(MRI)":[55],"images":[56],"is":[57,139,174,196,297,366,385,403],"vital":[58],"yet":[59],"challenging":[60],"for":[61,176,198],"disease":[63],"screening":[64],"successful":[66],"treatment":[67],"planning.":[68],"There":[69],"are":[70,226,250,274,357,372],"some":[71],"obstacles":[72],"that":[73,370],"hinder":[74],"development":[76],"approaches,":[79],"such":[80],"as":[81,421],"class-imbalance":[82,187],"samples,":[84],"hard":[85],"mimics":[86],"lesions,":[88],"etc.":[89],"In":[90,134,245],"this":[91,355],"paper,":[92],"we":[93],"propose":[94],"a":[95,137,166,193,389,422],"coarse-to-fine":[96],"algorithm":[97,111,214,384,402],"address":[99],"those":[100],"problems":[101],"multi-series":[107,235],"MRI":[108,221,236,286,362],"images.":[109,222],"The":[110,269],"utilizes":[112],"deep":[113],"learning":[114],"techniques":[115],"provide":[117],"segmentation,":[119],"tumor":[120,123,178,200,292,306],"segmentation":[121,307],"classification":[124,333],"functions,":[125],"thus":[126,364],"supporting":[127],"doctors'":[128],"decisions":[129],"clinical":[131],"practice.":[132],"Methods":[133],"proposed":[135,213,383,401],"algorithm,":[136],"DenseUNet":[138],"firstly":[140],"employed":[141],"extract":[143],"breast-related":[144],"regions":[145],"by":[146,155,276,288,294,325,346],"removing":[147],"irrelevant":[148],"parts":[149],"thoracic":[152],"cavity.":[153],"Then,":[154],"taking":[156],"advantage":[157],"attention":[160],"mechanism":[161],"focal":[164,182],"loss,":[165],"novel":[167],"network":[168,195,334],"named":[169],"Attention":[170],"Dense":[171],"UNet":[172],"(ADUNet)":[173],"designed":[175],"segmentation.":[179],"Particularly,":[180],"loss":[183],"ADUNet":[185,296],"addresses":[186],"model":[189],"overwhelmed":[190],"problems.":[191],"Finally,":[192],"customized":[194,332],"developed":[197],"classification.":[201],"Besides,":[202],"while":[203],"most":[204],"approaches":[205],"only":[206],"consider":[207],"one":[208],"or":[209,254],"two":[210,277,336],"series,":[211],"takes":[215],"account":[217,430],"multiple":[218],"series":[219],"Results":[223],"Extensive":[224],"experiments":[225],"carried":[227],"out":[228],"evaluate":[230],"its":[231],"performance":[232,315],"435":[234],"volumes":[237],"87":[239],"patients":[240],"collected":[241,358],"Tongji":[243],"Hospital.":[244],"dataset,":[247],"all":[248],"cases":[249],"with":[251,279,299],"benign,":[252],"malignant,":[253],"both":[255,317],"type":[256],"tumors,":[258],"category":[260],"which":[262,406],"covers":[263],"carcinoma,":[264],"fibroadenoma,":[265],"cyst":[266],"abscess.":[268],"ground":[270],"truths":[271],"tumors":[273],"labeled":[275],"radiologists":[278],"3":[280],"years":[281],"experience":[283],"reporting":[287],"drawing":[289],"contours":[290],"slice":[293],"slice.":[295],"compared":[298],"other":[300],"prevalent":[301],"deep-learning":[302],"methods":[303],"quantitative":[309],"results,":[310],"achieves":[312,341],"best":[314],"Case":[318],"Dice":[319,323],"Score":[320,324],"Global":[322],"0.748":[326],"0.801":[328],"respectively.":[329,350],"Moreover,":[330],"outperforms":[335],"CNN-M":[337],"based":[338],"models":[339],"tumor-level":[342],"case-level":[344],"AUC":[345],"0.831":[347],"0.918":[349],"Discussion":[351],"All":[352],"data":[353],"paper":[356],"same":[361,375],"device,":[363],"reasonable":[367],"assume":[369],"they":[371],"domain":[376],"independent":[378],"identically":[379],"distributed.":[380],"Whether":[381],"robust":[386,411],"enough":[387],"multi-source":[390],"case":[391],"still":[392],"remains":[393],"an":[394],"open":[395],"question.":[396],"Each":[397],"stage":[398,409,420],"trained":[404],"separately,":[405],"makes":[407],"each":[408,419],"more":[410],"converge":[413],"faster.":[414],"Such":[415],"training":[416],"strategy":[417],"considers":[418],"separate":[423],"task":[424],"does":[426],"not":[427],"take":[428],"into":[429],"relationships":[432],"between":[433],"tasks.":[434]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}