{"id":"https://openalex.org/W4200579490","doi":"https://doi.org/10.1145/3500931.3501004","title":"Mammography Data Augmentation Using ACGAN","display_name":"Mammography Data Augmentation Using ACGAN","publication_year":2021,"publication_date":"2021-10-29","ids":{"openalex":"https://openalex.org/W4200579490","doi":"https://doi.org/10.1145/3500931.3501004"},"language":"en","primary_location":{"id":"doi:10.1145/3500931.3501004","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3500931.3501004","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Symposium on Artificial Intelligence for Medicine Sciences","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/A5004454509","display_name":"Yijiang Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yijiang Fan","raw_affiliation_strings":["College of Information Engineering, Shanghai Maritime University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054741384","display_name":"Jiajia Jiao","orcid":"https://orcid.org/0000-0003-3680-787X"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajia Jiao","raw_affiliation_strings":["College of Information Engineering, Shanghai Maritime University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5004454509"],"corresponding_institution_ids":["https://openalex.org/I96733725"],"apc_list":null,"apc_paid":null,"fwci":0.2719,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.65090501,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"431","last_page":"437"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9837999939918518,"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":0.9776999950408936,"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/discriminator","display_name":"Discriminator","score":0.7825727462768555},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.774392306804657},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7449392676353455},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.7177197337150574},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.630031168460846},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.596828818321228},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.5676195025444031},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.5560422539710999},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5489318370819092},{"id":"https://openalex.org/keywords/digital-mammography","display_name":"Digital mammography","score":0.5478945374488831},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5174992084503174},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.370067298412323},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3054628372192383},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.22841456532478333},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.139927476644516},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.1198936402797699}],"concepts":[{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.7825727462768555},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.774392306804657},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7449392676353455},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.7177197337150574},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.630031168460846},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.596828818321228},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.5676195025444031},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.5560422539710999},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5489318370819092},{"id":"https://openalex.org/C2781281974","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Digital mammography","level":5,"score":0.5478945374488831},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5174992084503174},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.370067298412323},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3054628372192383},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.22841456532478333},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.139927476644516},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.1198936402797699},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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:10.1145/3500931.3501004","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3500931.3501004","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Symposium on Artificial Intelligence for Medicine Sciences","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":23,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1982896147","https://openalex.org/W2084369411","https://openalex.org/W2155654603","https://openalex.org/W2253429366","https://openalex.org/W2533800772","https://openalex.org/W2548275288","https://openalex.org/W2765811365","https://openalex.org/W2785678896","https://openalex.org/W2804078698","https://openalex.org/W2889890092","https://openalex.org/W2938054231","https://openalex.org/W2948210185","https://openalex.org/W2950776302","https://openalex.org/W3012948168","https://openalex.org/W3024801014","https://openalex.org/W3051229043","https://openalex.org/W3121279955","https://openalex.org/W4298289240","https://openalex.org/W6637568146","https://openalex.org/W6674887261","https://openalex.org/W6739901393","https://openalex.org/W6745929367"],"related_works":["https://openalex.org/W4321441197","https://openalex.org/W3217069185","https://openalex.org/W2557931800","https://openalex.org/W2116047071","https://openalex.org/W54977395","https://openalex.org/W1993531705","https://openalex.org/W3197491245","https://openalex.org/W1966034269","https://openalex.org/W2000845075","https://openalex.org/W1766776469"],"abstract_inverted_index":{"As":[0],"high":[1],"morbidity":[2],"and":[3,50,81,88,97,118,165],"mortality":[4],"of":[5,46,53,109,135,169,175],"breast":[6,24,38],"cancer,":[7],"early":[8],"diagnosis":[9],"plays":[10],"a":[11],"key":[12],"role":[13],"in":[14,73,85],"improving":[15],"survival":[16],"rate.":[17],"So":[18],"it":[19],"is":[20,129],"significant":[21],"to":[22,36,75,146,161],"develop":[23],"cancer":[25,39],"detection":[26],"techniques.":[27],"Nowadays,":[28],"Convolutional":[29],"Neural":[30],"Networks":[31],"(CNN)":[32],"have":[33],"been":[34],"proven":[35],"detect":[37],"well,":[40],"but":[41],"face":[42],"two":[43],"challenges:":[44],"lack":[45],"large":[47],"labelled":[48],"datasets":[49],"unbalanced":[51],"distribution":[52],"incident":[54],"categories.":[55],"Therefore,":[56],"we":[57],"propose":[58],"BreastGAN":[59,91,128],"for":[60],"further":[61,105],"data":[62],"augmentation":[63],"via":[64],"using":[65],"an":[66],"Auxiliary":[67],"Classifier":[68],"Generative":[69],"Adversarial":[70],"Network":[71],"(ACGAN),":[72],"order":[74],"generate":[76,93],"labeled":[77],"images.":[78],"Integrating":[79],"self-attention":[80],"spectral":[82],"normalization":[83],"components":[84],"the":[86,107,113,120,133,136,147],"generator":[87],"discriminator":[89],"respectively,":[90],"can":[92,104],"higher":[94,162,173],"resolution":[95],"images":[96,149],"more":[98],"accurate":[99],"labels.":[100,124],"Additionally,":[101],"label":[102],"smoothing":[103],"improve":[106],"accuracy":[108,134,174],"labels":[110,117],"by":[111,132],"increasing":[112],"distance":[114,121],"between":[115],"different":[116],"reduce":[119],"within":[122],"same":[123],"In":[125],"our":[126,156],"experiments,":[127],"also":[130],"evaluated":[131],"trained":[137],"classification":[138,176],"model":[139,158,177],"with":[140],"new":[141],"synthesized":[142],"datasets,":[143],"not":[144],"limited":[145],"generated":[148],"quality":[150],"themselves.":[151],"The":[152],"results":[153],"show":[154],"that":[155],"proposed":[157],"achieves":[159],"up":[160],"IS":[163],"(56.54)":[164],"lower":[166],"FID":[167],"(21.25)":[168],"image":[170],"quality,":[171],"4.9%":[172],"over":[178],"latest":[179],"ACGAN.":[180]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
