{"id":"https://openalex.org/W7126021749","doi":"https://doi.org/10.1109/bibm66473.2025.11356891","title":"Glandular Distribution-Aware Pretraining for Architectural Distortion Detection in Digital Breast Tomosynthesis","display_name":"Glandular Distribution-Aware Pretraining for Architectural Distortion Detection in Digital Breast Tomosynthesis","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7126021749","doi":"https://doi.org/10.1109/bibm66473.2025.11356891"},"language":null,"primary_location":{"id":"doi:10.1109/bibm66473.2025.11356891","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356891","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100669521","display_name":"Xi Liu","orcid":"https://orcid.org/0000-0002-6741-4094"},"institutions":[{"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":"Xiaoling Liu","raw_affiliation_strings":["College of Engineering, Shantou University,Department of Biomedical Engineering,Shantou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, Shantou University,Department of Biomedical Engineering,Shantou,China","institution_ids":["https://openalex.org/I32574673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124170397","display_name":"Zilong He","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":"Zilong He","raw_affiliation_strings":["Southern Medical University,Department of Diagnostic Imaging, Nanfang Hospital,Guangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern Medical University,Department of Diagnostic Imaging, Nanfang Hospital,Guangzhou,China","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124247438","display_name":"Wei Liang","orcid":null},"institutions":[{"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":"Wei Liang","raw_affiliation_strings":["College of Engineering, Shantou University,Department of Biomedical Engineering,Shantou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, Shantou University,Department of Biomedical Engineering,Shantou,China","institution_ids":["https://openalex.org/I32574673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124243403","display_name":"Yue Li","orcid":null},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yue Li","raw_affiliation_strings":["University of Pennsylvania,Department of Radiology,Philadelphia,PA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pennsylvania,Department of Radiology,Philadelphia,PA,USA","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124189969","display_name":"Yun Teng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210152856","display_name":"Qujiang People's Hospital","ror":"https://ror.org/028xrre51","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210152856"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Teng","raw_affiliation_strings":["Lianjiang People&#x0027;s Hospital,Department of Radiology,Lianjiang,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lianjiang People&#x0027;s Hospital,Department of Radiology,Lianjiang,China","institution_ids":["https://openalex.org/I4210152856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102216053","display_name":"Chushan Lin","orcid":"https://orcid.org/0009-0001-1351-3919"},"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":"Chushan Lin","raw_affiliation_strings":["Southern Medical University,Department of Diagnostic Imaging, Nanfang Hospital,Guangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern Medical University,Department of Diagnostic Imaging, Nanfang Hospital,Guangzhou,China","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124204016","display_name":"Jiahui Jia","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":"Jiahui Jia","raw_affiliation_strings":["Southern Medical University,Department of Diagnostic Imaging, Nanfang Hospital,Guangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern Medical University,Department of Diagnostic Imaging, Nanfang Hospital,Guangzhou,China","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124204144","display_name":"Qianli Zhong","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":"Qianli Zhong","raw_affiliation_strings":["Southern Medical University,Department of Diagnostic Imaging, Nanfang Hospital,Guangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern Medical University,Department of Diagnostic Imaging, Nanfang Hospital,Guangzhou,China","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124256980","display_name":"Yile Bin","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":"Yile Bin","raw_affiliation_strings":["Southern Medical University,Department of Diagnostic Imaging, Nanfang Hospital,Guangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern Medical University,Department of Diagnostic Imaging, Nanfang Hospital,Guangzhou,China","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124169984","display_name":"Jiayi Li","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":"Jiayi Li","raw_affiliation_strings":["Southern Medical University,Department of Diagnostic Imaging, Nanfang Hospital,Guangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern Medical University,Department of Diagnostic Imaging, Nanfang Hospital,Guangzhou,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/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":["College of Engineering, Shantou University,Department of Biomedical Engineering,Shantou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, Shantou University,Department of Biomedical Engineering,Shantou,China","institution_ids":["https://openalex.org/I32574673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100739070","display_name":"Weiguo Chen","orcid":"https://orcid.org/0000-0002-2095-304X"},"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 University,Department of Diagnostic Imaging, Nanfang Hospital,Guangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern Medical University,Department of Diagnostic Imaging, Nanfang Hospital,Guangzhou,China","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yao Lu","orcid":null},"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":false,"raw_author_name":"Yao Lu","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University,Guangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University,Guangzhou,China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3858","last_page":"3861"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11361","display_name":"Digital Radiography and Breast Imaging","score":0.585099995136261,"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":0.585099995136261,"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":0.3626999855041504,"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/T11258","display_name":"Breast Implant and Reconstruction","score":0.004600000102072954,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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-breast-tomosynthesis","display_name":"Digital Breast Tomosynthesis","score":0.7296000123023987},{"id":"https://openalex.org/keywords/digital-mammography","display_name":"Digital mammography","score":0.6535000205039978},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5777000188827515},{"id":"https://openalex.org/keywords/tomosynthesis","display_name":"Tomosynthesis","score":0.5647000074386597},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.5629000067710876},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5145999789237976},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48179998993873596},{"id":"https://openalex.org/keywords/clinical-practice","display_name":"Clinical Practice","score":0.46140000224113464},{"id":"https://openalex.org/keywords/breast-imaging","display_name":"Breast imaging","score":0.453900009393692}],"concepts":[{"id":"https://openalex.org/C2909182381","wikidata":"https://www.wikidata.org/wiki/Q7820316","display_name":"Digital Breast Tomosynthesis","level":5,"score":0.7296000123023987},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7073000073432922},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6797000169754028},{"id":"https://openalex.org/C2781281974","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Digital mammography","level":5,"score":0.6535000205039978},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5777000188827515},{"id":"https://openalex.org/C147454874","wikidata":"https://www.wikidata.org/wiki/Q7820316","display_name":"Tomosynthesis","level":5,"score":0.5647000074386597},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.5629000067710876},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5530999898910522},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5145999789237976},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48179998993873596},{"id":"https://openalex.org/C2779974597","wikidata":"https://www.wikidata.org/wiki/Q28448986","display_name":"Clinical Practice","level":2,"score":0.46140000224113464},{"id":"https://openalex.org/C2777432617","wikidata":"https://www.wikidata.org/wiki/Q22905905","display_name":"Breast imaging","level":5,"score":0.453900009393692},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.43970000743865967},{"id":"https://openalex.org/C3020109028","wikidata":"https://www.wikidata.org/wiki/Q9103","display_name":"Breast tissue","level":4,"score":0.4088999927043915},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.38339999318122864},{"id":"https://openalex.org/C2778491387","wikidata":"https://www.wikidata.org/wiki/Q17011492","display_name":"Breast cancer screening","level":5,"score":0.3635999858379364},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.36090001463890076},{"id":"https://openalex.org/C3019060180","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automated method","level":2,"score":0.3427000045776367},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.33379998803138733},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.33079999685287476},{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.31150001287460327},{"id":"https://openalex.org/C68060419","wikidata":"https://www.wikidata.org/wiki/Q40754","display_name":"Subtraction","level":2,"score":0.2906999886035919},{"id":"https://openalex.org/C37672646","wikidata":"https://www.wikidata.org/wiki/Q6002283","display_name":"Image subtraction","level":5,"score":0.2833000123500824},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.27549999952316284},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.26190000772476196},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.2574999928474426},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.25589999556541443},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25380000472068787},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.25189998745918274},{"id":"https://openalex.org/C42781572","wikidata":"https://www.wikidata.org/wiki/Q1250322","display_name":"Digital image","level":4,"score":0.2506999969482422}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm66473.2025.11356891","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356891","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.5682893991470337}],"awards":[{"id":"https://openalex.org/G1541515786","display_name":null,"funder_award_id":"2023B03J1237","funder_id":"https://openalex.org/F4320330743","funder_display_name":"Guangzhou Municipal Science and Technology Bureau"},{"id":"https://openalex.org/G4442155276","display_name":null,"funder_award_id":"2020B1212060032","funder_id":"https://openalex.org/F4320330330","funder_display_name":"Guangdong Province Key Laboratory of Computational Science"},{"id":"https://openalex.org/G4979532734","display_name":null,"funder_award_id":"82502292,82441027,62371476","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6643889077","display_name":null,"funder_award_id":"2023A1515011488","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G8146327057","display_name":null,"funder_award_id":"2025A04J4114","funder_id":"https://openalex.org/F4320335480","funder_display_name":"Guangzhou Municipal Science and Technology Project"},{"id":"https://openalex.org/G8327189530","display_name":null,"funder_award_id":"2414050003969","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320330330","display_name":"Guangdong Province Key Laboratory of Computational Science","ror":null},{"id":"https://openalex.org/F4320330743","display_name":"Guangzhou Municipal Science and Technology Bureau","ror":null},{"id":"https://openalex.org/F4320335480","display_name":"Guangzhou Municipal Science and Technology Project","ror":null},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2020666413","https://openalex.org/W2029440658","https://openalex.org/W2036929809","https://openalex.org/W2159205109","https://openalex.org/W2161791887","https://openalex.org/W2963351448","https://openalex.org/W2963420272","https://openalex.org/W2963800363","https://openalex.org/W3029753047","https://openalex.org/W3096609285","https://openalex.org/W3142498373","https://openalex.org/W3144321749","https://openalex.org/W3162176327","https://openalex.org/W3195487931","https://openalex.org/W4220918109","https://openalex.org/W4311447777","https://openalex.org/W4375851480","https://openalex.org/W4388210029","https://openalex.org/W4401725766","https://openalex.org/W4403008105","https://openalex.org/W4404263072","https://openalex.org/W4410591103","https://openalex.org/W4411433586"],"related_works":[],"abstract_inverted_index":{"Architectural":[0],"distortion":[1],"(AD)":[2],"is":[3,117],"a":[4,66,83,97,121,126,148],"subtle":[5],"early":[6],"sign":[7],"of":[8,153,157],"breast":[9,13],"cancer":[10],"in":[11,26,82],"digital":[12],"tomosynthesis":[14],"(DBT).":[15],"Numerous":[16],"computer-aided":[17],"detection":[18],"methods":[19,168],"have":[20],"been":[21],"developed":[22],"to":[23,90,101],"assist":[24],"radiologists":[25],"identifying":[27],"AD.":[28],"Despite":[29],"advances,":[30],"existing":[31],"approaches":[32],"diverge":[33],"from":[34,77],"clinical":[35,62,173],"practice":[36],"by":[37,60],"relying":[38],"heavily":[39],"on":[40,138],"annotated":[41],"abnormalities":[42],"while":[43],"neglecting":[44],"abundant":[45],"normal":[46,79],"DBT":[47,80,141],"volumes":[48],"that":[49,71,105,144],"are":[50,87],"critical":[51],"for":[52],"understanding":[53],"glandular":[54,74],"distributions":[55],"and":[56,111,155,169],"detecting":[57],"abnormalities.":[58],"Motivated":[59],"this":[61],"insight,":[63],"we":[64,95],"propose":[65],"Glandular":[67],"Distribution-Aware":[68],"pretraining":[69],"paradigm":[70],"learns":[72],"intrinsic":[73],"spatial":[75],"priors":[76],"unlabeled":[78],"scans":[81],"self-supervised":[84],"manner,":[85],"which":[86],"then":[88,118],"transferred":[89],"downstream":[91],"AD":[92],"detection.":[93],"Specifically,":[94],"design":[96],"masked":[98],"inpainting":[99],"GAN":[100],"pretrain":[102],"an":[103,139],"encoder":[104,116],"captures":[106],"both":[107],"local":[108],"tissue":[109],"continuity":[110],"global":[112],"anatomical":[113],"context.":[114],"This":[115],"fused":[119],"with":[120,133,172],"COCO-pretrained":[122],"ResNet":[123],"backbone":[124],"within":[125],"RetinaNet":[127],"detector,":[128],"coupling":[129],"general":[130],"object-detection":[131],"capabilities":[132],"glandular-specific":[134],"sensitivity.":[135],"Extensive":[136],"experiments":[137],"in-house":[140],"dataset":[142],"demonstrate":[143],"our":[145],"method":[146],"achieves":[147],"mean":[149],"true":[150],"positive":[151],"fraction":[152],"64.51%":[154],"sensitivity":[156],"75.18%":[158],"at":[159],"2.0":[160],"false":[161],"positives":[162],"per":[163],"volume,":[164],"significantly":[165],"outperforming":[166],"state-of-the-art":[167],"better":[170],"aligning":[171],"radiology":[174],"practice.":[175]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-01-30T00:00:00"}
