{"id":"https://openalex.org/W3131637220","doi":"https://doi.org/10.1117/12.2580836","title":"Architectural distortion detection in digital breast tomosynthesis with adaptive receptive field and adaptive convolution kernel shape","display_name":"Architectural distortion detection in digital breast tomosynthesis with adaptive receptive field and adaptive convolution kernel shape","publication_year":2021,"publication_date":"2021-02-12","ids":{"openalex":"https://openalex.org/W3131637220","doi":"https://doi.org/10.1117/12.2580836","mag":"3131637220"},"language":"en","primary_location":{"id":"doi:10.1117/12.2580836","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2580836","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2021: 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/A5031046706","display_name":"Weimin Xu","orcid":"https://orcid.org/0000-0001-8777-3134"},"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/A5101022199","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/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/A5039284219","display_name":"Zeqi Wu","orcid":"https://orcid.org/0000-0003-4248-3453"},"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":"Zeqi 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/A5025079276","display_name":"Genggeng Qin","orcid":"https://orcid.org/0000-0002-7563-3924"},"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":"Genggeng Qin","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":11,"corresponding_author_ids":["https://openalex.org/A5078408026"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":0.437,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.62865875,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"90","last_page":"90"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11361","display_name":"Digital Radiography and Breast Imaging","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9998000264167786,"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":0.9951000213623047,"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/false-positive-paradox","display_name":"False positive paradox","score":0.7041575312614441},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6748457551002502},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6688766479492188},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5404366850852966},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.5356841087341309},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5216993689537048},{"id":"https://openalex.org/keywords/tomosynthesis","display_name":"Tomosynthesis","score":0.5114649534225464},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4873448312282562},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.48118501901626587},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44642093777656555},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.4145791828632355},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26663023233413696},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1956326961517334},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.08287966251373291}],"concepts":[{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.7041575312614441},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6748457551002502},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6688766479492188},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5404366850852966},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.5356841087341309},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5216993689537048},{"id":"https://openalex.org/C147454874","wikidata":"https://www.wikidata.org/wiki/Q7820316","display_name":"Tomosynthesis","level":5,"score":0.5114649534225464},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4873448312282562},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.48118501901626587},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44642093777656555},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.4145791828632355},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26663023233413696},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1956326961517334},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.08287966251373291},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2580836","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2580836","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2021: Computer-Aided Diagnosis","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":0,"referenced_works":[],"related_works":["https://openalex.org/W2339772350","https://openalex.org/W3031098315","https://openalex.org/W2999882810","https://openalex.org/W2097610786","https://openalex.org/W2037430610","https://openalex.org/W2121761581","https://openalex.org/W2390351205","https://openalex.org/W2077535801","https://openalex.org/W2528071193","https://openalex.org/W2000845075"],"abstract_inverted_index":{"Architectural":[0],"distortion":[1],"(AD)":[2],"is":[3,15,69],"one":[4],"of":[5,23,73,100,128,159,179,206],"the":[6,51,70,97,168,177,195,204],"breast":[7,44],"abnormal":[8],"signs":[9],"in":[10,20,42],"medical":[11],"imaging":[12],"and":[13,27,139,176,203,231],"it":[14],"hard":[16],"to":[17,85,96,118,173,189,200,214,224],"be":[18],"detected":[19],"clinic":[21],"because":[22,59],"its":[24],"subtle":[25],"appearance":[26],"similar":[28],"intensity":[29],"with":[30],"surrounding":[31,80],"tissues.":[32],"We":[33],"previously":[34],"developed":[35],"a":[36,65,106,120],"deep-learning-based":[37,122],"model":[38,91,146,221],"for":[39,48,145,192],"AD":[40,123],"detection":[41,53,124],"digital":[43],"tomosynthesis":[45],"(DBT).":[46],"However,":[47],"atypical":[49,60,87,101,137,193],"ADs,":[50,88,102,135],"model\u2019s":[52],"performance":[54],"was":[55,116,153],"not":[56,63,93],"good":[57],"enough":[58],"ADs":[61,138,230],"do":[62],"have":[64,105],"radial":[66],"pattern,":[67],"which":[68],"main":[71],"characteristic":[72],"AD.":[74],"Considering":[75],"that":[76,163,219],"radiologists":[77,226],"always":[78],"take":[79],"tissues\u2019":[81],"information":[82],"as":[83,155],"reference":[84],"locate":[86,227],"an":[89],"ideal":[90],"should":[92],"only":[94],"adapt":[95],"different":[98],"shape":[99],"but":[103],"also":[104],"large":[107],"receptive":[108],"field.":[109],"In":[110],"this":[111,220],"study,":[112],"deformable":[113,166],"convolution":[114],"kernel":[115],"employed":[117],"establish":[119],"novel":[121],"model.":[125],"A":[126],"dataset":[127],"265":[129],"DBT":[130],"volumes":[131,142],"including":[132],"64":[133],"typical":[134],"74":[136],"127":[140],"normal":[141],"were":[143],"collected":[144],"evaluation.":[147],"Mean":[148],"true":[149],"positive":[150],"fraction":[151],"(MTPF)":[152],"used":[154],"figure-of-merit.":[156],"The":[157],"results":[158,217],"six-fold":[160],"cross-validation":[161],"showed":[162,218],"after":[164],"involving":[165],"convolution,":[167],"MTPF":[169,196],"improved":[170,197],"from":[171,187,198,212],"0.53&plusmn;0.04":[172],"0.56&plusmn;0.04":[174],"(p=0.028)":[175],"number":[178,205],"false":[180],"positives":[181],"(FPs)":[182],"at":[183,208],"80%":[184,209],"sensitivity":[185,210],"reduced":[186,211],"1.95":[188],"1.09.":[190],"Especially":[191],"AD,":[194],"0.45&plusmn;0.05":[199],"0.51&plusmn;0.04":[201],"(p=0.01)":[202],"FPs":[207],"4.79":[213],"1.51.":[215],"These":[216],"has":[222],"potential":[223],"assist":[225],"more":[228],"suspicious":[229],"improve":[232],"their":[233],"diagnosis":[234],"efficiency.":[235]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
