{"id":"https://openalex.org/W4220953498","doi":"https://doi.org/10.1117/12.2611287","title":"Computer-aided detection for architectural distortion: a comparison of digital breast tomosynthesis and digital mammography","display_name":"Computer-aided detection for architectural distortion: a comparison of digital breast tomosynthesis and digital mammography","publication_year":2022,"publication_date":"2022-04-01","ids":{"openalex":"https://openalex.org/W4220953498","doi":"https://doi.org/10.1117/12.2611287"},"language":"en","primary_location":{"id":"doi:10.1117/12.2611287","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2611287","pdf_url":null,"source":{"id":"https://openalex.org/S4363606689","display_name":"Medical Imaging 2022: Computer-Aided Diagnosis","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2022: Computer-Aided Diagnosis","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/A5078408026","display_name":"Yue Li","orcid":"https://orcid.org/0000-0002-7945-0359"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yue Li","raw_affiliation_strings":["Sun Yat-Sen Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Sun Yat-Sen Univ. (China)","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100669271","display_name":"Zilong He","orcid":"https://orcid.org/0000-0001-7963-082X"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zilong He","raw_affiliation_strings":["Southern Medical Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Southern Medical Univ. (China)","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101614628","display_name":"Xiangyuan Ma","orcid":"https://orcid.org/0000-0002-8107-6861"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyuan Ma","raw_affiliation_strings":["Shantou Univ. (China)","Sun Yat-Sen Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Shantou Univ. (China)","institution_ids":["https://openalex.org/I32574673"]},{"raw_affiliation_string":"Sun Yat-Sen Univ. (China)","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080810304","display_name":"Weixiong Zeng","orcid":"https://orcid.org/0000-0002-8569-3744"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weixiong Zeng","raw_affiliation_strings":["Southern Medical Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Southern Medical Univ. (China)","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100617227","display_name":"Jialing Liu","orcid":"https://orcid.org/0000-0001-5554-0870"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jialing Liu","raw_affiliation_strings":["Southern Medical Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Southern Medical Univ. (China)","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046749930","display_name":"Weimin Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weimin Xu","raw_affiliation_strings":["Southern Medical Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Southern Medical Univ. (China)","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059499077","display_name":"Zeyuan Xu","orcid":"https://orcid.org/0000-0002-9899-778X"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeyuan Xu","raw_affiliation_strings":["Southern Medical Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Southern Medical Univ. (China)","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000253316","display_name":"Sina Wang","orcid":"https://orcid.org/0000-0002-2159-7921"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sina Wang","raw_affiliation_strings":["Southern Medical Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Southern Medical Univ. (China)","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054315255","display_name":"Chanjuan Wen","orcid":null},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chanjuan Wen","raw_affiliation_strings":["Southern Medical Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Southern Medical Univ. (China)","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101411795","display_name":"Hui Zeng","orcid":"https://orcid.org/0000-0002-3715-8317"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Zeng","raw_affiliation_strings":["Southern Medical Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Southern Medical Univ. (China)","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012843035","display_name":"Jiefang Wu","orcid":"https://orcid.org/0000-0003-4088-4341"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiefang Wu","raw_affiliation_strings":["Southern Medical Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Southern Medical Univ. (China)","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100739071","display_name":"Weiguo Chen","orcid":"https://orcid.org/0000-0003-1552-0511"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiguo Chen","raw_affiliation_strings":["Southern Medical Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Southern Medical Univ. (China)","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102027564","display_name":"Yao Lu","orcid":"https://orcid.org/0000-0001-9004-9569"},"institutions":[{"id":"https://openalex.org/I4210135985","display_name":"Shanghai University of Medicine and Health Sciences","ror":"https://ror.org/03ns6aq57","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210135985"]},{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Lu","raw_affiliation_strings":["Shanghai Univ. of Medicine and Health Sciences (China)","Sun Yat-Sen Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Shanghai Univ. of Medicine and Health Sciences (China)","institution_ids":["https://openalex.org/I4210135985"]},{"raw_affiliation_string":"Sun Yat-Sen Univ. (China)","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":13,"corresponding_author_ids":["https://openalex.org/A5078408026"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":0.8808,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.68150897,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"71","issue":null,"first_page":"29","last_page":"29"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11361","display_name":"Digital Radiography and Breast Imaging","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11361","display_name":"Digital Radiography and Breast Imaging","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T10862","display_name":"AI in cancer detection","score":0.998199999332428,"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/T13953","display_name":"Digital Imaging in Medicine","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"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/digital-mammography","display_name":"Digital mammography","score":0.7462724447250366},{"id":"https://openalex.org/keywords/digital-breast-tomosynthesis","display_name":"Digital Breast Tomosynthesis","score":0.7354802489280701},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.7040528059005737},{"id":"https://openalex.org/keywords/tomosynthesis","display_name":"Tomosynthesis","score":0.6851947903633118},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6432967185974121},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5244072675704956},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35632288455963135},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.20649418234825134},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.13290750980377197},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1296977996826172},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.06696411967277527}],"concepts":[{"id":"https://openalex.org/C2781281974","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Digital mammography","level":5,"score":0.7462724447250366},{"id":"https://openalex.org/C2909182381","wikidata":"https://www.wikidata.org/wiki/Q7820316","display_name":"Digital Breast Tomosynthesis","level":5,"score":0.7354802489280701},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.7040528059005737},{"id":"https://openalex.org/C147454874","wikidata":"https://www.wikidata.org/wiki/Q7820316","display_name":"Tomosynthesis","level":5,"score":0.6851947903633118},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6432967185974121},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5244072675704956},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35632288455963135},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.20649418234825134},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.13290750980377197},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1296977996826172},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.06696411967277527},{"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},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2611287","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2611287","pdf_url":null,"source":{"id":"https://openalex.org/S4363606689","display_name":"Medical Imaging 2022: Computer-Aided Diagnosis","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2022: Computer-Aided Diagnosis","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1604391186","https://openalex.org/W1673310716","https://openalex.org/W1964702664","https://openalex.org/W2031632107","https://openalex.org/W2098699875","https://openalex.org/W2113622720","https://openalex.org/W2139676226","https://openalex.org/W2159205109","https://openalex.org/W2161791887","https://openalex.org/W2169369279","https://openalex.org/W2198320210","https://openalex.org/W2559553341","https://openalex.org/W2587143428","https://openalex.org/W2735236905","https://openalex.org/W2749362420","https://openalex.org/W2798167579","https://openalex.org/W2885841583","https://openalex.org/W2933084664","https://openalex.org/W2979291688","https://openalex.org/W3029753047","https://openalex.org/W3128646645","https://openalex.org/W6637131181","https://openalex.org/W6678805600","https://openalex.org/W6790598159"],"related_works":["https://openalex.org/W2000845075","https://openalex.org/W2897347202","https://openalex.org/W2036173279","https://openalex.org/W4401888562","https://openalex.org/W2130017212","https://openalex.org/W2747392720","https://openalex.org/W4393757906","https://openalex.org/W2944306382","https://openalex.org/W4220866805","https://openalex.org/W4311482823"],"abstract_inverted_index":{"Architectural":[0],"distortion":[1],"(AD)":[2],"is":[3,20,38],"one":[4],"of":[5,26,47,93,108,120,124,226],"the":[6,45,87,91,104,121,154,172,188,216,231],"breast":[7,12,139,227],"abnormal":[8],"signs":[9],"in":[10,50,72,75,97,115,196],"digital":[11,16],"tomosynthesis":[13],"(DBT)":[14],"and":[15,30,58,90,117,129,148,153,170,174,222],"mammography":[17],"(DM).":[18],"It":[19,229],"hard":[21],"to":[22,54,168,218],"be":[23],"detected":[24],"because":[25],"its":[27],"subtle":[28],"appearance":[29],"similar":[31],"intensity":[32],"with":[33,240],"surrounding":[34],"tissue.":[35,228],"Since":[36],"DBT":[37,73,116,127,146,197,203,213],"a":[39,109],"three-dimensional":[40],"imaging,":[41],"it":[42],"can":[43,68],"address":[44],"problem":[46],"tissue":[48,220],"superimposition":[49,221],"DM,":[51,207],"so":[52],"as":[53,182],"reduce":[55],"false":[56,59],"positives":[57],"negatives.":[60],"Several":[61],"clinical":[62,241],"studies":[63],"have":[64],"confirmed":[65],"that":[66,187,212],"radiologists":[67,94],"detect":[69,234],"more":[70,224,235],"ADs":[71,152],"than":[74,198],"DM.":[76],"These":[77],"conclusions":[78],"are":[79,95],"based":[80],"on":[81],"subjective":[82],"experience.":[83,242],"To":[84],"explore":[85],"whether":[86],"engineering":[88],"model":[89,114,190,233],"experience":[92],"consistent":[96,239],"AD":[98,105],"detection":[99,106,112,194],"tasks,":[100],"this":[101],"study":[102],"compared":[103],"performance":[107,195],"deep-learning-based":[110],"computer-aided":[111],"(CADe)":[113],"DM":[118,132,149,199],"images":[119,133,150],"same":[122],"group":[123,160],"cases.":[125,142],"394":[126],"volumes":[128,147],"their":[130],"corresponding":[131],"were":[134,158],"collected":[135],"retrospectively":[136],"from":[137],"99":[138],"cancer":[140],"screening":[141],"Among":[143],"them,":[144],"203":[145],"contained":[151],"remaining":[155],"191":[156],"ones":[157],"negative":[159],"without":[161],"any":[162],"AD.":[163],"Ten-fold":[164],"cross-validation":[165],"was":[166,180,238],"used":[167,181],"train":[169],"evaluate":[171],"models":[173],"mean":[175],"true":[176],"positive":[177],"fraction":[178],"(MTPF)":[179],"figure-of-merit.":[183],"The":[184],"results":[185],"showed":[186,223],"CADe":[189,232],"achieved":[191],"significantly":[192],"better":[193],"(MTPF:":[200],"0.7026&plusmn;0.0394":[201],"for":[202,206],"vs.":[204],"0.5870&plusmn;0.0407":[205],"p=0.002).":[208],"Qualitative":[209],"analysis":[210],"illustrated":[211],"indeed":[214],"had":[215],"ability":[217],"overcome":[219],"details":[225],"helped":[230],"ADs,":[236],"which":[237]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-01-15T23:16:33.117629","created_date":"2025-10-10T00:00:00"}
