{"id":"https://openalex.org/W2996780833","doi":"https://doi.org/10.1109/tmi.2019.2962013","title":"Attention by Selection: A Deep Selective Attention Approach to Breast Cancer Classification","display_name":"Attention by Selection: A Deep Selective Attention Approach to Breast Cancer Classification","publication_year":2019,"publication_date":"2019-12-25","ids":{"openalex":"https://openalex.org/W2996780833","doi":"https://doi.org/10.1109/tmi.2019.2962013","mag":"2996780833","pmid":"https://pubmed.ncbi.nlm.nih.gov/31880545"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2019.2962013","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2019.2962013","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5101963090","display_name":"Bolei Xu","orcid":"https://orcid.org/0000-0002-8589-7261"},"institutions":[{"id":"https://openalex.org/I4210142539","display_name":"Guangdong Institute of Intelligent Manufacturing","ror":"https://ror.org/049jpjz09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210142539"]},{"id":"https://openalex.org/I4210104064","display_name":"Shenzhen Academy of Robotics","ror":"https://ror.org/01h027j09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210104064"]},{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bolei Xu","raw_affiliation_strings":["College of Information Engineering, Shenzhen University, Shenzhen, China","Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen, China","Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen, China","institution_ids":["https://openalex.org/I4210142539"]},{"raw_affiliation_string":"Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China","institution_ids":["https://openalex.org/I4210104064"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100755006","display_name":"Jingxin Liu","orcid":"https://orcid.org/0000-0001-6071-9197"},"institutions":[{"id":"https://openalex.org/I4210089783","display_name":"Shanghai Medical Information Center","ror":"https://ror.org/007wz9933","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210089783"]},{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I4210104064","display_name":"Shenzhen Academy of Robotics","ror":"https://ror.org/01h027j09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210104064"]},{"id":"https://openalex.org/I4210142539","display_name":"Guangdong Institute of Intelligent Manufacturing","ror":"https://ror.org/049jpjz09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210142539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingxin Liu","raw_affiliation_strings":["College of Information Engineering, Shenzhen University, Shenzhen, China","Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen, China","Histo Pathology Diagnostic Center, Shanghai, China","Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen, China","institution_ids":["https://openalex.org/I4210142539"]},{"raw_affiliation_string":"Histo Pathology Diagnostic Center, Shanghai, China","institution_ids":["https://openalex.org/I4210089783"]},{"raw_affiliation_string":"Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China","institution_ids":["https://openalex.org/I4210104064"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033865377","display_name":"Xianxu Hou","orcid":"https://orcid.org/0000-0002-8728-2842"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I4210142539","display_name":"Guangdong Institute of Intelligent Manufacturing","ror":"https://ror.org/049jpjz09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210142539"]},{"id":"https://openalex.org/I4210104064","display_name":"Shenzhen Academy of Robotics","ror":"https://ror.org/01h027j09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210104064"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianxu Hou","raw_affiliation_strings":["College of Information Engineering, Shenzhen University, Shenzhen, China","Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen, China","Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen, China","institution_ids":["https://openalex.org/I4210142539"]},{"raw_affiliation_string":"Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China","institution_ids":["https://openalex.org/I4210104064"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101852707","display_name":"Bozhi Liu","orcid":"https://orcid.org/0000-0001-7305-0736"},"institutions":[{"id":"https://openalex.org/I4210142539","display_name":"Guangdong Institute of Intelligent Manufacturing","ror":"https://ror.org/049jpjz09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210142539"]},{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I4210104064","display_name":"Shenzhen Academy of Robotics","ror":"https://ror.org/01h027j09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210104064"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bozhi Liu","raw_affiliation_strings":["College of Information Engineering, Shenzhen University, Shenzhen, China","Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen, China","Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen, China","institution_ids":["https://openalex.org/I4210142539"]},{"raw_affiliation_string":"Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China","institution_ids":["https://openalex.org/I4210104064"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040516036","display_name":"Jonathan M. Garibaldi","orcid":"https://orcid.org/0000-0002-9690-7074"},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jon Garibaldi","raw_affiliation_strings":["School of Computer Science, University of Nottingham, Nottingham, U.K"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Nottingham, Nottingham, U.K","institution_ids":["https://openalex.org/I142263535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075105813","display_name":"Ian O. Ellis","orcid":"https://orcid.org/0000-0001-5292-8474"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ian O. Ellis","raw_affiliation_strings":["Faculty of Medicine and Health Sciences, University of Nottingham, Nottingham, U.K"],"affiliations":[{"raw_affiliation_string":"Faculty of Medicine and Health Sciences, University of Nottingham, Nottingham, U.K","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100317491","display_name":"Andrew R. Green","orcid":"https://orcid.org/0000-0002-0488-5913"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andy Green","raw_affiliation_strings":["Faculty of Medicine and Health Sciences, University of Nottingham, Nottingham, U.K"],"affiliations":[{"raw_affiliation_string":"Faculty of Medicine and Health Sciences, University of Nottingham, Nottingham, U.K","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019313200","display_name":"Linlin Shen","orcid":"https://orcid.org/0000-0003-1420-0815"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linlin Shen","raw_affiliation_strings":["College of Information Engineering, Shenzhen University, Shenzhen, China","National Engineering Laboratory for Big Data System Computing Technology, School of Computer Science and Software Engineering, Computer Vision Institute, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"National Engineering Laboratory for Big Data System Computing Technology, School of Computer Science and Software Engineering, Computer Vision Institute, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114259459","display_name":"Guoping Qiu","orcid":"https://orcid.org/0000-0002-5877-5648"},"institutions":[{"id":"https://openalex.org/I4210142539","display_name":"Guangdong Institute of Intelligent Manufacturing","ror":"https://ror.org/049jpjz09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210142539"]},{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]},{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Guoping Qiu","raw_affiliation_strings":["College of Information Engineering, Shenzhen University, Shenzhen, China","Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen, China","School of Computer Science, University of Nottingham, Nottingham, U.K"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen, China","institution_ids":["https://openalex.org/I4210142539"]},{"raw_affiliation_string":"School of Computer Science, University of Nottingham, Nottingham, U.K","institution_ids":["https://openalex.org/I142263535"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5101963090"],"corresponding_institution_ids":["https://openalex.org/I180726961","https://openalex.org/I4210104064","https://openalex.org/I4210142539"],"apc_list":null,"apc_paid":null,"fwci":3.7804,"has_fulltext":false,"cited_by_count":68,"citation_normalized_percentile":{"value":0.94829849,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"39","issue":"6","first_page":"1930","last_page":"1941"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":1.0,"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":1.0,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.996999979019165,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9941999912261963,"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":0.7694230079650879},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7679734230041504},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6906173825263977},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.6688156127929688},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6438750624656677},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5777385234832764},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5239205956459045},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4600813686847687},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3816473186016083}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7694230079650879},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7679734230041504},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6906173825263977},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.6688156127929688},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6438750624656677},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5777385234832764},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5239205956459045},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4600813686847687},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3816473186016083}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001940","descriptor_name":"Breast","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001940","descriptor_name":"Breast","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001940","descriptor_name":"Breast","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001940","descriptor_name":"Breast","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2019.2962013","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2019.2962013","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:31880545","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31880545","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on medical imaging","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G2571176145","display_name":null,"funder_award_id":"61902253","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3556342979","display_name":null,"funder_award_id":"61672357","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G389932634","display_name":null,"funder_award_id":"MR/N005953/1","funder_id":"https://openalex.org/F4320334626","funder_display_name":"Medical Research Council"},{"id":"https://openalex.org/G8985577795","display_name":null,"funder_award_id":"91959108","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334626","display_name":"Medical Research Council","ror":"https://ror.org/03x94j517"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W581956982","https://openalex.org/W1686810756","https://openalex.org/W1938425378","https://openalex.org/W1975999319","https://openalex.org/W2117510288","https://openalex.org/W2119717200","https://openalex.org/W2147527908","https://openalex.org/W2155027007","https://openalex.org/W2175543269","https://openalex.org/W2194775991","https://openalex.org/W2344480160","https://openalex.org/W2463565445","https://openalex.org/W2550553598","https://openalex.org/W2554892747","https://openalex.org/W2591644541","https://openalex.org/W2637598222","https://openalex.org/W2656617639","https://openalex.org/W2716665989","https://openalex.org/W2737969950","https://openalex.org/W2750873433","https://openalex.org/W2752782242","https://openalex.org/W2771292748","https://openalex.org/W2785343799","https://openalex.org/W2787746658","https://openalex.org/W2798122215","https://openalex.org/W2801370692","https://openalex.org/W2805686747","https://openalex.org/W2806435421","https://openalex.org/W2811123232","https://openalex.org/W2888358068","https://openalex.org/W2889089723","https://openalex.org/W2899429952","https://openalex.org/W2914016683","https://openalex.org/W2914959431","https://openalex.org/W2923705338","https://openalex.org/W2929968583","https://openalex.org/W2951527505","https://openalex.org/W2955042357","https://openalex.org/W2962818306","https://openalex.org/W2962939528","https://openalex.org/W2963420686","https://openalex.org/W2963495494","https://openalex.org/W2963668159","https://openalex.org/W3098150009","https://openalex.org/W3102751196","https://openalex.org/W6616837769","https://openalex.org/W6637373629","https://openalex.org/W6682137061","https://openalex.org/W6683204974","https://openalex.org/W6719057275","https://openalex.org/W6750469568"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W2731899572","https://openalex.org/W4230611425","https://openalex.org/W4205762803","https://openalex.org/W4294635752","https://openalex.org/W4304166257","https://openalex.org/W2795259429","https://openalex.org/W2005234362","https://openalex.org/W1997235926"],"abstract_inverted_index":{"Deep":[0],"learning":[1,34,204],"approaches":[2,54,74],"are":[3,142],"widely":[4],"applied":[5],"to":[6,11,31,44,57,64,80,107,125,128,153,157,201],"histopathological":[7,23,192],"image":[8,28,43,193],"analysis":[9],"due":[10],"the":[12,26,32,41,67,92,112,132,146,154,216,220],"impressive":[13],"levels":[14],"of":[15,215,219],"performance":[16,199],"achieved.":[17],"However,":[18,70],"when":[19],"dealing":[20],"with":[21,82],"high-resolution":[22],"images,":[24],"utilizing":[25],"original":[27,42,68,113],"as":[29],"input":[30],"deep":[33,101,203],"model":[35],"is":[36,123,135,185],"computationally":[37],"expensive,":[38],"while":[39,211],"resizing":[40],"achieve":[45,174],"low":[46],"resolution":[47],"incurs":[48],"information":[49],"loss.":[50],"Some":[51],"hard-attention":[52,72,222],"based":[53,73],"have":[55],"emerged":[56],"select":[58,108],"possible":[59],"lesion":[60],"regions":[61,110],"from":[62],"images":[63,114],"avoid":[65],"processing":[66],"image.":[69],"these":[71],"usually":[75],"take":[76],"a":[77,100,120,164,175,188],"long":[78],"time":[79,218],"converge":[81],"weak":[83],"guidance,":[84],"and":[85,130,179],"valueless":[86],"patches":[87,141],"may":[88],"be":[89],"trained":[90,144],"by":[91,145],"classifier.":[93],"To":[94],"overcome":[95],"this":[96],"problem,":[97],"we":[98,168],"propose":[99],"selective":[102],"attention":[103],"approach":[104,172,184],"that":[105,170],"aims":[106],"valuable":[109],"in":[111],"for":[115,137],"classification.":[116,138],"In":[117],"our":[118,171],"approach,":[119],"decision":[121,155],"network":[122,156],"developed":[124],"decide":[126],"where":[127,195],"crop":[129],"whether":[131],"cropped":[133],"patch":[134],"necessary":[136],"These":[139],"selected":[140],"then":[143,150],"classification":[147,181,209],"network,":[148],"which":[149],"provides":[151],"feedback":[152],"update":[158],"its":[159],"selection":[160],"policy.":[161],"With":[162],"such":[163],"co-evolution":[165],"training":[166,217],"strategy,":[167],"show":[169],"can":[173],"fast":[176],"convergence":[177],"rate":[178],"high":[180],"accuracy.":[182],"Our":[183],"evaluated":[186],"on":[187],"public":[189],"breast":[190],"cancer":[191],"database,":[194],"it":[196],"demonstrates":[197],"superior":[198],"compared":[200],"state-of-the-art":[202],"approaches,":[205],"achieving":[206],"approximately":[207],"98%":[208],"accuracy":[210],"only":[212],"taking":[213],"50%":[214],"previous":[221],"approach.":[223]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":21},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}