{"id":"https://openalex.org/W4388479011","doi":"https://doi.org/10.1145/3608164.3608167","title":"Patch-based deep learning models for breast mammographic mass classification","display_name":"Patch-based deep learning models for breast mammographic mass classification","publication_year":2023,"publication_date":"2023-05-26","ids":{"openalex":"https://openalex.org/W4388479011","doi":"https://doi.org/10.1145/3608164.3608167"},"language":"en","primary_location":{"id":"doi:10.1145/3608164.3608167","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3608164.3608167","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3608164.3608167","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 15th International Conference on Bioinformatics and Biomedical Technology","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3608164.3608167","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036692300","display_name":"Wentao Xie","orcid":"https://orcid.org/0009-0003-2413-6359"},"institutions":[{"id":"https://openalex.org/I46247651","display_name":"University of Manitoba","ror":"https://ror.org/02gfys938","country_code":"CA","type":"education","lineage":["https://openalex.org/I46247651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Wentao Xie","raw_affiliation_strings":["Department of Biochemistry and Medical Genetics, University of Manitoba, Canada"],"raw_orcid":"https://orcid.org/0009-0003-2413-6359","affiliations":[{"raw_affiliation_string":"Department of Biochemistry and Medical Genetics, University of Manitoba, Canada","institution_ids":["https://openalex.org/I46247651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100318535","display_name":"Qian Liu","orcid":"https://orcid.org/0000-0001-9832-596X"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]},{"id":"https://openalex.org/I872945872","display_name":"University of Winnipeg","ror":"https://ror.org/02gdzyx04","country_code":"CA","type":"education","lineage":["https://openalex.org/I872945872"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Qian Liu","raw_affiliation_strings":["Department of Biochemistry, Western University, Canada and \rDepartment of Applied Computer Science, University of Winnipeg, Canada"],"raw_orcid":"https://orcid.org/0000-0001-9832-596X","affiliations":[{"raw_affiliation_string":"Department of Biochemistry, Western University, Canada and \rDepartment of Applied Computer Science, University of Winnipeg, Canada","institution_ids":["https://openalex.org/I125749732","https://openalex.org/I872945872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071526221","display_name":"Yongye Su","orcid":"https://orcid.org/0000-0001-9297-5902"},"institutions":[{"id":"https://openalex.org/I46247651","display_name":"University of Manitoba","ror":"https://ror.org/02gfys938","country_code":"CA","type":"education","lineage":["https://openalex.org/I46247651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yongye Su","raw_affiliation_strings":["Department of Biochemistry and Medical Genetics, University of Manitoba, Canada"],"raw_orcid":"https://orcid.org/0000-0001-9297-5902","affiliations":[{"raw_affiliation_string":"Department of Biochemistry and Medical Genetics, University of Manitoba, Canada","institution_ids":["https://openalex.org/I46247651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056408228","display_name":"Yi Yan","orcid":"https://orcid.org/0000-0003-4990-7378"},"institutions":[{"id":"https://openalex.org/I4210088414","display_name":"CancerCare Manitoba","ror":"https://ror.org/005cmms77","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I4210088414"]},{"id":"https://openalex.org/I46247651","display_name":"University of Manitoba","ror":"https://ror.org/02gfys938","country_code":"CA","type":"education","lineage":["https://openalex.org/I46247651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yi Yan","raw_affiliation_strings":["Department of Radiology, University of Manitoba, Canada and \rCancerCare Manitoba Research Institute, CancerCare Manitoba, Canada"],"raw_orcid":"https://orcid.org/0000-0003-4990-7378","affiliations":[{"raw_affiliation_string":"Department of Radiology, University of Manitoba, Canada and \rCancerCare Manitoba Research Institute, CancerCare Manitoba, Canada","institution_ids":["https://openalex.org/I4210088414","https://openalex.org/I46247651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102996897","display_name":"Shujun Huang","orcid":"https://orcid.org/0009-0008-0649-3623"},"institutions":[{"id":"https://openalex.org/I46247651","display_name":"University of Manitoba","ror":"https://ror.org/02gfys938","country_code":"CA","type":"education","lineage":["https://openalex.org/I46247651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Shujun Huang","raw_affiliation_strings":["Department of Biochemistry and Medical Genetics, University of Manitoba, Canada"],"raw_orcid":"https://orcid.org/0009-0008-0649-3623","affiliations":[{"raw_affiliation_string":"Department of Biochemistry and Medical Genetics, University of Manitoba, Canada","institution_ids":["https://openalex.org/I46247651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063820443","display_name":"Qin Kuang","orcid":"https://orcid.org/0000-0002-4111-291X"},"institutions":[{"id":"https://openalex.org/I46247651","display_name":"University of Manitoba","ror":"https://ror.org/02gfys938","country_code":"CA","type":"education","lineage":["https://openalex.org/I46247651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Qin Kuang","raw_affiliation_strings":["Department of Biochemistry and Medical Genetics, University of Manitoba, Canada"],"raw_orcid":"https://orcid.org/0000-0003-1215-3154","affiliations":[{"raw_affiliation_string":"Department of Biochemistry and Medical Genetics, University of Manitoba, Canada","institution_ids":["https://openalex.org/I46247651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035024838","display_name":"Pingzhao Hu","orcid":"https://orcid.org/0000-0002-9546-2245"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]},{"id":"https://openalex.org/I4210088414","display_name":"CancerCare Manitoba","ror":"https://ror.org/005cmms77","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I4210088414"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Pingzhao Hu","raw_affiliation_strings":["Department of Biochemistry, Western University, Canada and \rCancerCare Manitoba Research Institute, CancerCare Manitoba, Canada"],"raw_orcid":"https://orcid.org/0000-0002-9546-2245","affiliations":[{"raw_affiliation_string":"Department of Biochemistry, Western University, Canada and \rCancerCare Manitoba Research Institute, CancerCare Manitoba, Canada","institution_ids":["https://openalex.org/I125749732","https://openalex.org/I4210088414"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4346,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60826892,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"13","last_page":"22"},"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":0.9872000217437744,"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/T10556","display_name":"Global Cancer Incidence and Screening","score":0.9847999811172485,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/interpretability","display_name":"Interpretability","score":0.8172552585601807},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.7927097082138062},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6998196840286255},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.6382808089256287},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6200578212738037},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5744712352752686},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5333369374275208},{"id":"https://openalex.org/keywords/breast-imaging","display_name":"Breast imaging","score":0.49249157309532166},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.47227299213409424},{"id":"https://openalex.org/keywords/breast-cancer-screening","display_name":"Breast cancer screening","score":0.4515992999076843},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.342284232378006},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.29012006521224976},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.27703535556793213},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.08595675230026245}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8172552585601807},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.7927097082138062},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6998196840286255},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.6382808089256287},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6200578212738037},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5744712352752686},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5333369374275208},{"id":"https://openalex.org/C2777432617","wikidata":"https://www.wikidata.org/wiki/Q22905905","display_name":"Breast imaging","level":5,"score":0.49249157309532166},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.47227299213409424},{"id":"https://openalex.org/C2778491387","wikidata":"https://www.wikidata.org/wiki/Q17011492","display_name":"Breast cancer screening","level":5,"score":0.4515992999076843},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.342284232378006},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.29012006521224976},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.27703535556793213},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.08595675230026245},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3608164.3608167","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3608164.3608167","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3608164.3608167","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 15th International Conference on Bioinformatics and Biomedical Technology","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3608164.3608167","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3608164.3608167","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3608164.3608167","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 15th International Conference on Bioinformatics and Biomedical Technology","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.6899999976158142}],"awards":[],"funders":[{"id":"https://openalex.org/F4320310811","display_name":"Manitoba Medical Service Foundation","ror":"https://ror.org/00mfkwp51"},{"id":"https://openalex.org/F4320311230","display_name":"CancerCare Manitoba Foundation","ror":"https://ror.org/005cmms77"},{"id":"https://openalex.org/F4320320994","display_name":"Canada Research Chairs","ror":"https://ror.org/0517h6h17"},{"id":"https://openalex.org/F4320322675","display_name":"Mitacs","ror":"https://ror.org/00cjrc276"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388479011.pdf","grobid_xml":"https://content.openalex.org/works/W4388479011.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W304373761","https://openalex.org/W1981276685","https://openalex.org/W2034798169","https://openalex.org/W2054010632","https://openalex.org/W2068871148","https://openalex.org/W2074996049","https://openalex.org/W2084161499","https://openalex.org/W2099105076","https://openalex.org/W2108598243","https://openalex.org/W2151817208","https://openalex.org/W2155329254","https://openalex.org/W2194775991","https://openalex.org/W2612690371","https://openalex.org/W2621028221","https://openalex.org/W2727347885","https://openalex.org/W2776937175","https://openalex.org/W2907066882","https://openalex.org/W2913774342","https://openalex.org/W2917435428","https://openalex.org/W2952319621","https://openalex.org/W2965845428","https://openalex.org/W2990448817","https://openalex.org/W2993303538","https://openalex.org/W2997405657","https://openalex.org/W3080354987","https://openalex.org/W3091946902","https://openalex.org/W3094910079","https://openalex.org/W3148831051","https://openalex.org/W3196990271","https://openalex.org/W3202297619","https://openalex.org/W4205177272","https://openalex.org/W4207021301","https://openalex.org/W6676297131"],"related_works":["https://openalex.org/W3122972499","https://openalex.org/W2105667964","https://openalex.org/W2076908053","https://openalex.org/W2117952144","https://openalex.org/W1967579262","https://openalex.org/W2897267175","https://openalex.org/W1994267236","https://openalex.org/W3215153804","https://openalex.org/W2120277115","https://openalex.org/W2033683555"],"abstract_inverted_index":{"Background:":[0],"Breast":[1],"cancer":[2,22,27],"is":[3,14,67,208,290],"one":[4],"of":[5,32,61,72,194,250,297,317,328],"the":[6,47,51,58,70,73,83,108,111,134,137,141,152,156,167,175,182,187,192,195,198,235,239,243,247,251,260,274,294,298,306,310,315,326],"greatest":[7],"health":[8],"threats":[9],"to":[10,92,139,150,155,268,272],"women":[11],"worldwide.":[12],"Mammography":[13],"an":[15],"effective":[16,291],"and":[17,82,103,110,123,136,144,165,197,201,212,228,309,331],"inexpensive":[18],"tool":[19,324],"for":[20,120,337],"breast":[21,26,48,75],"early":[23],"detection.":[24],"Mammography-based":[25],"screening":[28,159],"requires":[29],"a":[30,115,161,171,334],"lot":[31],"manpower":[33],"from":[34,50,181],"professional":[35],"experts.":[36],"Thus,":[37],"computer-aided":[38],"diagnosis":[39],"tools,":[40],"especially":[41],"accurate":[42],"classifiers":[43],"which":[44],"can":[45],"distinguish":[46],"masses":[49],"background":[52],"tissues,":[53],"are":[54,256],"needed.":[55],"However,":[56],"since":[57],"sample":[59],"size":[60],"publicly":[62],"available":[63],"mammography":[64,105],"data":[65,106,121,203,244,288,308,313],"sets":[66],"relatively":[68],"small,":[69],"performance":[71,193,249,296,304],"published":[74],"mass":[76,143,276],"identification":[77],"models":[78,84,219],"was":[79],"not":[80,86],"great,":[81],"were":[85],"well-embraced":[87],"by":[88],"clinical":[89],"practice":[90,177],"due":[91],"their":[93],"low":[94],"interpretability.":[95],"Methods:":[96],"In":[97],"this":[98],"work,":[99],"using":[100,170,220,259],"two":[101,129],"independent":[102,261,311],"well-known":[104],"sets,":[107],"CBIS-DDSM":[109,188,307],"INbreast,":[112],"we":[113,190,265],"proposed":[114,149,321],"novel":[116],"patch":[117],"generation":[118],"method":[119],"augmentation":[122,245,289],"negative":[124],"case":[125],"generation.":[126],"We":[127,147,215],"implemented":[128],"successful":[130],"deep":[131,299],"learning":[132,300],"models,":[133],"ResNet":[135,196,236],"ViT,":[138],"classify":[140],"generated":[142],"non-mass":[145],"patches.":[146],"also":[148,216,266],"apply":[151],"patch-level":[153,287],"model":[154,237],"full-view":[157],"mammogram":[158,279],"in":[160,278,292],"sliding":[162],"window":[163],"manner":[164],"visualize/interpret":[166],"prediction":[168],"results":[169,232,330],"heatmap":[172,322],"so":[173],"that":[174,234,285],"clinic":[176,338],"could":[178,332],"potentially":[179],"benefit":[180],"well-trained":[183],"model.":[184,241],"Result:":[185],"For":[186],"dataset,":[189],"compared":[191],"ViT":[199,240],"with":[200],"without":[202],"augmentation.":[204],"The":[205,231,253,282,302,320],"F1":[206],"score":[207],"0.91,":[209],"0.86,":[210],"0.85,":[211],"0.70,":[213],"respectively.":[214],"evaluated":[217],"our":[218,286,318,329],"other":[221],"metrices":[222],"such":[223],"as":[224],"accuracy,":[225],"precision,":[226],"recall,":[227],"ROC":[229],"curve.":[230],"show":[233],"outperforms":[238],"And":[242],"improves":[246],"overall":[248],"models.":[252,301],"similar":[254],"conclusions":[255],"further":[257],"supported":[258],"INbreast":[262,312],"data.":[263],"Furthermore,":[264],"explored":[267],"use":[269],"probability-based":[270],"heatmaps":[271],"visualize":[273],"potential":[275,335],"regions":[277],"images.":[280],"Conclusion:":[281],"study":[283],"shows":[284],"improving":[293],"classification":[295],"comparable":[303],"on":[305],"demonstrates":[314],"generalizability":[316],"methods.":[319],"visualization":[323],"increases":[325],"interpretability":[327],"be":[333],"approach":[336],"utilization.":[339]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}