{"id":"https://openalex.org/W3202213316","doi":"https://doi.org/10.1109/tmi.2021.3117272","title":"WDCCNet: Weighted Double-Classifier Constraint Neural Network for Mammographic Image Classification","display_name":"WDCCNet: Weighted Double-Classifier Constraint Neural Network for Mammographic Image Classification","publication_year":2021,"publication_date":"2021-10-05","ids":{"openalex":"https://openalex.org/W3202213316","doi":"https://doi.org/10.1109/tmi.2021.3117272","mag":"3202213316","pmid":"https://pubmed.ncbi.nlm.nih.gov/34606448"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2021.3117272","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2021.3117272","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/A5100733313","display_name":"Yan Wang","orcid":"https://orcid.org/0000-0003-3907-9388"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I3004594783","display_name":"Institute of High Performance Computing","ror":"https://ror.org/02n0ejh50","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3004594783","https://openalex.org/I91275662"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN","SG"],"is_corresponding":false,"raw_author_name":"Yan Wang","raw_affiliation_strings":["Agency for Science, Technology and Research (A*STAR), Institute of High Performance Computing, Singapore","College of Computer Science, Sichuan University, Chengdu, China","Agency for Science, Technology and Research (A*STAR), Institute of High Performance Computing, Singapore; College of Computer Science, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-3907-9388","affiliations":[{"raw_affiliation_string":"Agency for Science, Technology and Research (A*STAR), Institute of High Performance Computing, Singapore","institution_ids":["https://openalex.org/I3004594783","https://openalex.org/I115228651"]},{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]},{"raw_affiliation_string":"Agency for Science, Technology and Research (A*STAR), Institute of High Performance Computing, Singapore; College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I3004594783","https://openalex.org/I115228651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102919523","display_name":"Zizhou Wang","orcid":"https://orcid.org/0000-0003-2234-9409"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zizhou Wang","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017061083","display_name":"Yangqin Feng","orcid":"https://orcid.org/0000-0003-3554-8079"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3004594783","display_name":"Institute of High Performance Computing","ror":"https://ror.org/02n0ejh50","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3004594783","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yangqin Feng","raw_affiliation_strings":["Agency for Science, Technology and Research (A*STAR), Institute of High Performance Computing, Singapore","Institute of High Performance Computing Agency for Science Technology and Research (A*STAR) Singapore 138632 Singapore"],"raw_orcid":"https://orcid.org/0000-0003-3554-8079","affiliations":[{"raw_affiliation_string":"Agency for Science, Technology and Research (A*STAR), Institute of High Performance Computing, Singapore","institution_ids":["https://openalex.org/I3004594783","https://openalex.org/I115228651"]},{"raw_affiliation_string":"Institute of High Performance Computing Agency for Science Technology and Research (A*STAR) Singapore 138632 Singapore","institution_ids":["https://openalex.org/I3004594783","https://openalex.org/I115228651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037608200","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0002-9702-6738"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-9702-6738","affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.9386,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.92517952,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"41","issue":"3","first_page":"559","last_page":"570"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9962999820709229,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9897000193595886,"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/softmax-function","display_name":"Softmax function","score":0.9436623454093933},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7860320806503296},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7713066339492798},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7158012390136719},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6947484016418457},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6596798896789551},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6500660181045532},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.637718915939331},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5830501317977905},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.5502550005912781},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45771896839141846},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42691391706466675},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3909991681575775},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23822346329689026},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.21800905466079712}],"concepts":[{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.9436623454093933},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7860320806503296},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7713066339492798},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7158012390136719},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6947484016418457},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6596798896789551},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6500660181045532},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.637718915939331},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5830501317977905},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.5502550005912781},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45771896839141846},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42691391706466675},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3909991681575775},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23822346329689026},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.21800905466079712},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[{"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":"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":"D008327","descriptor_name":"Mammography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008327","descriptor_name":"Mammography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008327","descriptor_name":"Mammography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055088","descriptor_name":"Early Detection of Cancer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055088","descriptor_name":"Early Detection of Cancer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055088","descriptor_name":"Early Detection of Cancer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2021.3117272","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2021.3117272","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:34606448","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34606448","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":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7099999785423279}],"awards":[{"id":"https://openalex.org/G4939685397","display_name":null,"funder_award_id":"62025601","funder_id":"https://openalex.org/F4320336125","funder_display_name":"National Science Fund for Distinguished Young Scholars"},{"id":"https://openalex.org/G7164870795","display_name":"\u57fa\u4e8e\u5438\u5f15\u5b50\u7406\u8bba\u7684\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u8bb0\u5fc6\u673a\u5236","funder_award_id":"61772353","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7722438228","display_name":null,"funder_award_id":"2018SCUH0040","funder_id":"https://openalex.org/F4320322990","funder_display_name":"Sichuan University"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322990","display_name":"Sichuan University","ror":"https://ror.org/011ashp19"},{"id":"https://openalex.org/F4320336125","display_name":"National Science Fund for Distinguished Young Scholars","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W304373761","https://openalex.org/W1975517671","https://openalex.org/W2010915215","https://openalex.org/W2059791479","https://openalex.org/W2100471656","https://openalex.org/W2100940783","https://openalex.org/W2109902973","https://openalex.org/W2128747957","https://openalex.org/W2135414774","https://openalex.org/W2154434845","https://openalex.org/W2194775991","https://openalex.org/W2216351247","https://openalex.org/W2257979135","https://openalex.org/W2317999751","https://openalex.org/W2409650203","https://openalex.org/W2493683088","https://openalex.org/W2508173388","https://openalex.org/W2520774990","https://openalex.org/W2557738935","https://openalex.org/W2709951493","https://openalex.org/W2755855890","https://openalex.org/W2776937175","https://openalex.org/W2783801120","https://openalex.org/W2790772420","https://openalex.org/W2889646458","https://openalex.org/W2900144270","https://openalex.org/W2907066882","https://openalex.org/W2917890546","https://openalex.org/W2944016032","https://openalex.org/W2948158654","https://openalex.org/W2951965145","https://openalex.org/W2952050763","https://openalex.org/W2962898354","https://openalex.org/W2963166243","https://openalex.org/W2963227127","https://openalex.org/W2963446712","https://openalex.org/W2963466847","https://openalex.org/W2963775347","https://openalex.org/W2964275459","https://openalex.org/W2969985801","https://openalex.org/W2980030301","https://openalex.org/W2986544402","https://openalex.org/W2993303538","https://openalex.org/W2998175747","https://openalex.org/W3001021123","https://openalex.org/W3005136076","https://openalex.org/W3005203394","https://openalex.org/W3008258421","https://openalex.org/W3018760760","https://openalex.org/W3039680613","https://openalex.org/W3082260736","https://openalex.org/W3125803554","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6760936898","https://openalex.org/W6778883912"],"related_works":["https://openalex.org/W3095152779","https://openalex.org/W3119773509","https://openalex.org/W3128220219","https://openalex.org/W3120400911","https://openalex.org/W1487808658","https://openalex.org/W2761785940","https://openalex.org/W4229443568","https://openalex.org/W2129933262","https://openalex.org/W2005234362","https://openalex.org/W1997235926"],"abstract_inverted_index":{"The":[0,213],"early":[1,22],"detection":[2],"and":[3,93,224,235],"timely":[4],"treatment":[5],"of":[6,15,36,60,144,147],"breast":[7,23],"cancer":[8],"can":[9,136,153,182,237],"save":[10],"lives.":[11],"Mammography":[12],"is":[13],"one":[14],"the":[16,33,44,50,58,69,81,107,113,120,127,132,145,150,155,167,228],"most":[17],"efficient":[18],"approaches":[19],"to":[20,48,56,125,165,174,186,192,202],"screening":[21],"cancer.":[24],"An":[25],"automatic":[26],"mammographic":[27,61,194,210],"image":[28,195,211],"classification":[29,196],"method":[30,164,181],"could":[31],"improve":[32,193],"work":[34],"efficiency":[35],"radiologists.":[37],"Current":[38],"deep":[39],"learning-based":[40],"methods":[41,205,218,223,226],"typically":[42],"use":[43],"traditional":[45],"softmax":[46,83],"loss":[47,96,123],"optimize":[49],"feature":[51,70,133,168],"extraction":[52,71,134],"part,":[53],"which":[54],"aims":[55],"learn":[57,74,137],"features":[59,76],"images.":[62],"However,":[63],"previous":[64],"studies":[65],"have":[66],"shown":[67],"that":[68,105,131,216],"part":[72,135,170],"cannot":[73],"discriminative":[75,138],"from":[77],"complex":[78],"data":[79],"using":[80],"standard":[82],"loss.":[84],"In":[85],"this":[86],"paper,":[87],"we":[88,99,118],"design":[89],"a":[90,101,160],"new":[91],"architecture":[92,104,146],"propose":[94,119,159],"respective":[95],"functions.":[97],"Specifically,":[98],"develop":[100],"double-classifier":[102,121,162],"network":[103,152,191],"constrains":[106],"extracted":[108],"features'":[109],"distribution":[110],"by":[111,141],"changing":[112],"classifiers'":[114],"decision":[115,128],"boundaries.":[116],"Then,":[117],"constraint":[122,163],"function":[124],"constrain":[126],"boundaries":[129],"so":[130],"features.":[139,178],"Furthermore,":[140],"taking":[142],"advantage":[143],"two":[148],"classifiers,":[149],"neural":[151,190],"detect":[154],"difficult-to-classify":[156,176],"samples.":[157],"We":[158,198],"weighted":[161],"make":[166],"extract":[169],"pay":[171],"more":[172],"attention":[173],"learning":[175],"samples'":[177],"Our":[179,233],"proposed":[180],"be":[183,238],"easily":[184],"applied":[185],"an":[187],"existing":[188],"convolutional":[189],"performance.":[197],"conducted":[199],"extensive":[200],"experiments":[201],"evaluate":[203],"our":[204,217],"on":[206,227,240],"three":[207,229],"public":[208,230],"benchmark":[209],"datasets.":[212],"results":[214],"showed":[215],"outperformed":[219],"many":[220],"other":[221],"similar":[222],"state-of-the-art":[225],"medical":[231],"benchmarks.":[232],"code":[234],"weights":[236],"found":[239],"GitHub.":[241]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
