{"id":"https://openalex.org/W3180176184","doi":"https://doi.org/10.1109/cvpr46437.2021.00385","title":"Leveraging Large-Scale Weakly Labeled Data for Semi-Supervised Mass Detection in Mammograms","display_name":"Leveraging Large-Scale Weakly Labeled Data for Semi-Supervised Mass Detection in Mammograms","publication_year":2021,"publication_date":"2021-06-01","ids":{"openalex":"https://openalex.org/W3180176184","doi":"https://doi.org/10.1109/cvpr46437.2021.00385","mag":"3180176184"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr46437.2021.00385","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr46437.2021.00385","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","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/A5037675893","display_name":"Yuxing Tang","orcid":"https://orcid.org/0000-0002-6452-2751"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yuxing Tang","raw_affiliation_strings":["PAII Inc, USA"],"affiliations":[{"raw_affiliation_string":"PAII Inc, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101198327","display_name":"Zhenjie Cao","orcid":"https://orcid.org/0000-0002-9250-4040"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhenjie Cao","raw_affiliation_strings":["PAII Inc, USA"],"affiliations":[{"raw_affiliation_string":"PAII Inc, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100732252","display_name":"Yanbo Zhang","orcid":"https://orcid.org/0000-0003-4054-1322"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yanbo Zhang","raw_affiliation_strings":["PAII Inc, USA"],"affiliations":[{"raw_affiliation_string":"PAII Inc, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021711076","display_name":"Zhicheng Yang","orcid":"https://orcid.org/0000-0001-5868-9814"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhicheng Yang","raw_affiliation_strings":["PAII Inc, USA"],"affiliations":[{"raw_affiliation_string":"PAII Inc, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014646800","display_name":"Zongcheng Ji","orcid":"https://orcid.org/0000-0002-4963-8422"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zongcheng Ji","raw_affiliation_strings":["PAII Inc, USA"],"affiliations":[{"raw_affiliation_string":"PAII Inc, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100397313","display_name":"Yiwei Wang","orcid":"https://orcid.org/0000-0002-2836-6042"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yiwei Wang","raw_affiliation_strings":["PAII Inc, USA"],"affiliations":[{"raw_affiliation_string":"PAII Inc, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100774500","display_name":"Mei Han","orcid":"https://orcid.org/0000-0002-3123-2205"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mei Han","raw_affiliation_strings":["PAII Inc, USA"],"affiliations":[{"raw_affiliation_string":"PAII Inc, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101807672","display_name":"Jie Ma","orcid":"https://orcid.org/0000-0002-7432-3238"},"institutions":[{"id":"https://openalex.org/I4210105608","display_name":"ShenZhen People\u2019s Hospital","ror":"https://ror.org/01hcefx46","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210105608"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Ma","raw_affiliation_strings":["Shenzhen People\u2019s Hospital, China","Shenzhen People's Hospital, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen People\u2019s Hospital, China","institution_ids":["https://openalex.org/I4210105608"]},{"raw_affiliation_string":"Shenzhen People's Hospital, China","institution_ids":["https://openalex.org/I4210105608"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016038454","display_name":"Jing Xiao","orcid":"https://orcid.org/0000-0001-9615-4749"},"institutions":[{"id":"https://openalex.org/I4401726822","display_name":"Ping An (China)","ror":"https://ror.org/004yv2z91","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Xiao","raw_affiliation_strings":["Ping An Technology, China"],"affiliations":[{"raw_affiliation_string":"Ping An Technology, China","institution_ids":["https://openalex.org/I4401726822"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102961871","display_name":"Peng Chang","orcid":"https://orcid.org/0000-0003-3720-1597"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peng Chang","raw_affiliation_strings":["PAII Inc, USA"],"affiliations":[{"raw_affiliation_string":"PAII Inc, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5037675893"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4956,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.85566995,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"3854","last_page":"3863"},"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9973999857902527,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9954000115394592,"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":0.7703637480735779},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7189401984214783},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.6762619018554688},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5950075387954712},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.5652132034301758},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5525458455085754},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5035035014152527},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.4124409556388855},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32919585704803467},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.14560869336128235}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7703637480735779},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7189401984214783},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.6762619018554688},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5950075387954712},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.5652132034301758},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5525458455085754},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5035035014152527},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4124409556388855},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32919585704803467},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.14560869336128235},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr46437.2021.00385","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr46437.2021.00385","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1522301498","https://openalex.org/W1901129140","https://openalex.org/W2079057609","https://openalex.org/W2161236525","https://openalex.org/W2194775991","https://openalex.org/W2221898772","https://openalex.org/W2418676188","https://openalex.org/W2524608787","https://openalex.org/W2592384071","https://openalex.org/W2611650229","https://openalex.org/W2613718673","https://openalex.org/W2625559849","https://openalex.org/W2751665805","https://openalex.org/W2768252147","https://openalex.org/W2912664121","https://openalex.org/W2917435428","https://openalex.org/W2952793010","https://openalex.org/W2958016919","https://openalex.org/W2962708065","https://openalex.org/W2963150697","https://openalex.org/W2963351448","https://openalex.org/W2963446712","https://openalex.org/W2964121744","https://openalex.org/W2964189045","https://openalex.org/W2965373594","https://openalex.org/W2967982146","https://openalex.org/W2970369250","https://openalex.org/W3005680577","https://openalex.org/W3007935259","https://openalex.org/W3014641072","https://openalex.org/W3031923721","https://openalex.org/W3034978746","https://openalex.org/W3035230119","https://openalex.org/W3080919260","https://openalex.org/W3082402367","https://openalex.org/W3091206105","https://openalex.org/W3100859887","https://openalex.org/W3101153565","https://openalex.org/W3101156210","https://openalex.org/W3112635222","https://openalex.org/W3188634229","https://openalex.org/W3210120707","https://openalex.org/W6620707391","https://openalex.org/W6631190155","https://openalex.org/W6639824700","https://openalex.org/W6725739302","https://openalex.org/W6733905022","https://openalex.org/W6739899774","https://openalex.org/W6746075246","https://openalex.org/W6766673545","https://openalex.org/W6766773940","https://openalex.org/W6773568458","https://openalex.org/W6774314701","https://openalex.org/W6779977557","https://openalex.org/W6802852670"],"related_works":["https://openalex.org/W3125011624","https://openalex.org/W1508631387","https://openalex.org/W2370917603","https://openalex.org/W2017776670","https://openalex.org/W2952760143","https://openalex.org/W2347897961","https://openalex.org/W2979236518","https://openalex.org/W2358318464","https://openalex.org/W2340870721","https://openalex.org/W3091955004"],"abstract_inverted_index":{"Mammographic":[0],"mass":[1,25,46,173],"detection":[2,26,47,174],"is":[3,33,113],"an":[4],"integral":[5],"part":[6],"of":[7,16,134,178],"a":[8,13,24,29,40,58,76,105,144,197],"computer-aided":[9],"diagnosis":[10,54],"system.":[11],"Annotating":[12],"large":[14,198],"number":[15],"mammograms":[17],"at":[18],"pixel-level":[19,85,157],"in":[20,28,104,193],"order":[21],"to":[22,115,151],"train":[23],"model":[27,63,79,93,128],"fully":[30,67,77],"supervised":[31,78,180],"fashion":[32],"costly":[34],"and":[35,70,130,143,156,182],"time-consuming.":[36],"This":[37],"paper":[38],"presents":[39],"novel":[41,109],"self-training":[42,106],"framework":[43,89,169],"for":[44,121],"semi-supervised":[45,168,187],"with":[48,75,84,189],"soft":[49,102,132,140,145],"image-level":[50,155],"labels":[51,133],"generated":[52],"from":[53],"reports":[55],"by":[56,196],"Mammo-RoBERTa,":[57],"RoBERTa-based":[59],"natural":[60],"language":[61],"processing":[62],"fine-tuned":[64],"on":[65,81,125,176],"the":[66,82,87,92,96,126,131,135,154,166,172,179,184],"labeled":[68,99,137,191],"data":[69,83,100],"associated":[71],"mammography":[72],"reports.":[73],"Starting":[74],"trained":[80],"masks,":[86],"proposed":[88,114,167],"iteratively":[90],"refines":[91],"itself":[94],"using":[95],"entire":[97],"weakly":[98,136,190],"(image-level":[101],"label)":[103],"fashion.":[107],"A":[108,139],"sample":[110],"selection":[111],"strategy":[112],"identify":[116],"those":[117],"most":[118],"informative":[119],"samples":[120],"each":[122],"iteration,":[123],"based":[124],"current":[127],"output":[129],"data.":[138],"cross-entropy":[141],"loss":[142,147,159],"focal":[146],"are":[148],"also":[149],"designed":[150],"serve":[152],"as":[153],"classification":[158],"respectively.":[160],"Our":[161],"experiment":[162],"results":[163],"show":[164],"that":[165],"can":[170],"improve":[171],"accuracy":[175],"top":[177],"baseline,":[181],"outperforms":[183],"previous":[185],"state-of-the-art":[186],"approaches":[188],"data,":[192],"some":[194],"cases":[195],"margin.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
