{"id":"https://openalex.org/W4406074057","doi":"https://doi.org/10.48550/arxiv.2407.16634","title":"Knowledge-driven AI-generated data for accurate and interpretable breast ultrasound diagnoses","display_name":"Knowledge-driven AI-generated data for accurate and interpretable breast ultrasound diagnoses","publication_year":2024,"publication_date":"2024-07-23","ids":{"openalex":"https://openalex.org/W4406074057","doi":"https://doi.org/10.48550/arxiv.2407.16634"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2407.16634","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2407.16634","pdf_url":"https://arxiv.org/pdf/2407.16634","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2407.16634","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019483040","display_name":"Haojun Yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yu, Haojun","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059911281","display_name":"You\u2010Cheng Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Youcheng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100331257","display_name":"Nan Zhang","orcid":"https://orcid.org/0000-0002-0985-4227"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Nan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089231857","display_name":"Zihan Niu","orcid":"https://orcid.org/0000-0003-1390-2743"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Niu, Zihan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001156318","display_name":"Xuantong Gong","orcid":"https://orcid.org/0000-0001-8984-5461"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gong, Xuantong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086211710","display_name":"Yanwen Luo","orcid":"https://orcid.org/0000-0002-2200-8754"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luo, Yanwen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101195488","display_name":"Quanlin Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Quanlin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Qin, Wangyan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qin, Wangyan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078539746","display_name":"Mengyuan Zhou","orcid":"https://orcid.org/0000-0002-2078-0767"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Mengyuan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019787502","display_name":"Jie Han","orcid":"https://orcid.org/0000-0003-3137-733X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Han, Jie","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Tao, Jia","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tao, Jia","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023339129","display_name":"Ziwei Zhao","orcid":"https://orcid.org/0009-0007-0120-3458"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Ziwei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101200235","display_name":"Di Dai","orcid":"https://orcid.org/0009-0002-1832-5164"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dai, Di","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024485817","display_name":"David He","orcid":"https://orcid.org/0000-0002-5703-6616"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He, Di","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100391516","display_name":"Dong Wang","orcid":"https://orcid.org/0000-0002-9373-3515"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Dong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057256570","display_name":"Binghui Tang","orcid":"https://orcid.org/0000-0001-8909-6106"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tang, Binghui","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079169457","display_name":"Ling Huo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huo, Ling","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018245913","display_name":"Qingli Zhu","orcid":"https://orcid.org/0000-0002-0618-2381"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhu, Qingli","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009822141","display_name":"Yong Wang","orcid":"https://orcid.org/0000-0003-1100-697X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Yong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100406711","display_name":"Liwei Wang","orcid":"https://orcid.org/0000-0001-9970-8604"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Liwei","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":20,"corresponding_author_ids":["https://openalex.org/A5019483040"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9751999974250793,"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":0.9751999974250793,"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":0.9272000193595886,"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/medical-diagnosis","display_name":"Medical diagnosis","score":0.7964680194854736},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.5377839207649231},{"id":"https://openalex.org/keywords/breast-ultrasound","display_name":"Breast ultrasound","score":0.49312183260917664},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48758214712142944},{"id":"https://openalex.org/keywords/breast-imaging","display_name":"Breast imaging","score":0.41444632411003113},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41144731640815735},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.37881606817245483},{"id":"https://openalex.org/keywords/medical-physics","display_name":"Medical physics","score":0.3723084032535553},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3619847893714905},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.34979385137557983},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.23327642679214478},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.20436638593673706},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.14899003505706787}],"concepts":[{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.7964680194854736},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.5377839207649231},{"id":"https://openalex.org/C2777423100","wikidata":"https://www.wikidata.org/wiki/Q1888238","display_name":"Breast ultrasound","level":5,"score":0.49312183260917664},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48758214712142944},{"id":"https://openalex.org/C2777432617","wikidata":"https://www.wikidata.org/wiki/Q22905905","display_name":"Breast imaging","level":5,"score":0.41444632411003113},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41144731640815735},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.37881606817245483},{"id":"https://openalex.org/C19527891","wikidata":"https://www.wikidata.org/wiki/Q1120908","display_name":"Medical physics","level":1,"score":0.3723084032535553},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3619847893714905},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.34979385137557983},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.23327642679214478},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.20436638593673706},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.14899003505706787},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2407.16634","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2407.16634","pdf_url":"https://arxiv.org/pdf/2407.16634","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2407.16634","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2407.16634","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2407.16634","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2407.16634","pdf_url":"https://arxiv.org/pdf/2407.16634","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4429952920","display_name":null,"funder_award_id":"62276005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G453759813","display_name":null,"funder_award_id":"2022ZD0114902","funder_id":"https://openalex.org/F4320329860","funder_display_name":"National Science and Technology Major Project"},{"id":"https://openalex.org/G7982963820","display_name":null,"funder_award_id":"NSFC62276005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329860","display_name":"National Science and Technology Major Project","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4406074057.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3108039862","https://openalex.org/W2407173965","https://openalex.org/W2618954822","https://openalex.org/W2488824286","https://openalex.org/W4388187645","https://openalex.org/W4310960002","https://openalex.org/W2366255134","https://openalex.org/W2106039119","https://openalex.org/W4405781586","https://openalex.org/W2330711938"],"abstract_inverted_index":{"Data-driven":[0],"deep":[1],"learning":[2],"models":[3],"have":[4],"shown":[5],"great":[6],"capabilities":[7],"to":[8,30,67,99,177],"assist":[9],"radiologists":[10,123,155],"in":[11,32,126,147,165],"breast":[12],"ultrasound":[13],"(US)":[14],"diagnoses.":[15,108],"However,":[16],"their":[17,133],"effectiveness":[18],"is":[19],"limited":[20],"by":[21,124,135,156],"the":[22,45,110,118,129,166],"long-tail":[23],"distribution":[24],"of":[25,43,84,121],"training":[26],"data,":[27,80],"which":[28],"leads":[29],"inaccuracies":[31],"rare":[33,50,90],"cases.":[34,91],"In":[35,109],"this":[36],"study,":[37],"we":[38,56],"address":[39],"a":[40,58,63,101,157],"long-standing":[41],"challenge":[42],"improving":[44,132],"diagnostic":[46,102,115,151],"model":[47,66,103,116,152],"performance":[48,120,134],"on":[49,144],"cases":[51],"using":[52,75],"long-tailed":[53],"data.":[54,71,168],"Specifically,":[55],"introduce":[57],"pipeline,":[59],"TAILOR,":[60],"that":[61,171],"builds":[62],"knowledge-driven":[64],"generative":[65,73],"produce":[68],"tailored":[69],"synthetic":[70],"The":[72,92],"model,":[74],"3,749":[76],"lesions":[77,164],"as":[78],"source":[79,167],"can":[81,95,173],"generate":[82],"millions":[83],"breast-US":[85],"images,":[86],"especially":[87],"for":[88,104],"error-prone":[89],"generated":[93],"data":[94],"be":[96,175],"further":[97],"used":[98],"build":[100],"accurate":[105],"and":[106,180],"interpretable":[107,140],"prospective":[111],"external":[112],"evaluation,":[113],"our":[114,150],"outperforms":[117,153],"average":[119],"nine":[122],"33.5%":[125],"specificity":[127],"with":[128,138,160],"same":[130],"sensitivity,":[131],"providing":[136],"predictions":[137],"an":[139],"decision-making":[141],"process.":[142],"Moreover,":[143],"ductal":[145],"carcinoma":[146],"situ":[148],"(DCIS),":[149],"all":[154],"large":[158],"margin,":[159],"only":[161],"34":[162],"DCIS":[163],"We":[169],"believe":[170],"TAILOR":[172],"potentially":[174],"extended":[176],"various":[178],"diseases":[179],"imaging":[181],"modalities.":[182]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-01-05T00:00:00"}