{"id":"https://openalex.org/W7161699227","doi":"https://doi.org/10.48550/arxiv.2605.17368","title":"RadGenome-Anatomy: A Large-Scale Anatomy-Labeled Chest Radiograph Dataset via Physically Grounded Volumetric Projection","display_name":"RadGenome-Anatomy: A Large-Scale Anatomy-Labeled Chest Radiograph Dataset via Physically Grounded Volumetric Projection","publication_year":2026,"publication_date":"2026-05-17","ids":{"openalex":"https://openalex.org/W7161699227","doi":"https://doi.org/10.48550/arxiv.2605.17368"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.17368","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.17368","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.17368","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136489210","display_name":"Shuchang Ye","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ye, Shuchang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022712090","display_name":"Mingyuan Meng","orcid":"https://orcid.org/0000-0002-9562-1613"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Meng, Mingyuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136484305","display_name":"Hao Wang","orcid":"https://orcid.org/0000-0003-2789-3075"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Hao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136464385","display_name":"Usman Naseem","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Naseem, Usman","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100614820","display_name":"Jinman Kim","orcid":"https://orcid.org/0000-0001-5960-1060"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kim, Jinman","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.6588000059127808,"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"}},"topics":[{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.6588000059127808,"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/T11984","display_name":"Anatomy and Medical Technology","score":0.12999999523162842,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.03819999843835831,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/radiography","display_name":"Radiography","score":0.7742000222206116},{"id":"https://openalex.org/keywords/chest-radiograph","display_name":"Chest radiograph","score":0.5910999774932861},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5821999907493591},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5011000037193298},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.35899999737739563}],"concepts":[{"id":"https://openalex.org/C36454342","wikidata":"https://www.wikidata.org/wiki/Q245341","display_name":"Radiography","level":2,"score":0.7742000222206116},{"id":"https://openalex.org/C2781137159","wikidata":"https://www.wikidata.org/wiki/Q1283318","display_name":"Chest radiograph","level":3,"score":0.5910999774932861},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5821999907493591},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5623999834060669},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5011000037193298},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49799999594688416},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43689998984336853},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.40149998664855957},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.364300012588501},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.35899999737739563},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.3231000006198883},{"id":"https://openalex.org/C2775849417","wikidata":"https://www.wikidata.org/wiki/Q4393280","display_name":"Radiographic anatomy","level":3,"score":0.31709998846054077},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.27459999918937683}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.17368","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.17368","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.17368","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.17368","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.6521666049957275,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Anatomical":[0],"structure":[1],"labels":[2],"for":[3,8,189,216],"chest":[4,26,58,80,190],"radiographs":[5,27,140],"are":[6,37,172],"essential":[7],"medical":[9],"image":[10],"segmentation":[11,87],"and":[12,30,67,163,203,214,219],"a":[13,40,145,157],"broad":[14,164],"range":[15],"of":[16,156,167,211],"downstream":[17],"diagnostic":[18,209],"tasks.":[19],"However,":[20],"annotating":[21],"anatomy":[22,65,127],"directly":[23,120],"on":[24,183],"2D":[25,42,109,123,148],"is":[28,97],"labor-intensive":[29],"intrinsically":[31],"ambiguous,":[32],"as":[33,186],"3D":[34,102],"anatomical":[35,91,103,165],"structures":[36,92,132,170],"projected":[38,154],"onto":[39],"single":[41],"plane":[43],"where":[44,131],"boundaries":[45,124],"may":[46],"overlap,":[47],"be":[48],"occluded,":[49],"or":[50,135,176],"appear":[51],"only":[52],"partially":[53,137,174],"visible.":[54],"Consequently,":[55],"existing":[56],"anatomy-labeled":[57,79],"radiograph":[59,81,191],"datasets":[60],"remain":[61,141],"limited":[62],"in":[63,93,128,139],"scale,":[64],"coverage,":[66],"label":[68],"reliability.":[69],"To":[70],"address":[71],"these":[72],"limitations,":[73],"we":[74],"introduce":[75],"RadGenome-Anatomy,":[76,168],"the":[77,151],"largest":[78],"dataset,":[82],"containing":[83],"over":[84],"10":[85],"million":[86],"masks":[88,104,202],"across":[89],"210":[90],"25,692":[94],"studies.":[95],"It":[96],"constructed":[98],"by":[99,196],"projecting":[100],"large-scale":[101],"from":[105,119],"CT":[106],"volumes":[107],"into":[108],"radiographic":[110,114],"space":[111],"through":[112],"canonical":[113],"geometry.":[115],"This":[116],"shifts":[117],"annotation":[118],"tracing":[121],"uncertain":[122],"to":[125,178,199],"defining":[126],"volumetric":[129],"space,":[130],"that":[133,171],"overlap":[134],"become":[136],"invisible":[138],"spatially":[142],"separable.":[143],"As":[144],"result,":[146],"each":[147],"mask":[149],"represents":[150],"physically":[152],"grounded":[153],"footprint":[155],"volumetrically":[158],"defined":[159],"structure.":[160],"The":[161],"scale":[162],"coverage":[166],"including":[169],"overlapping,":[173],"visible,":[175],"difficult":[177],"delineate":[179],"directly,":[180],"enable":[181],"research":[182],"geometric":[184],"measurements":[185],"explicit":[187],"evidence":[188],"interpretation.":[192],"We":[193],"demonstrate":[194],"this":[195],"training":[197],"XAnatomy":[198],"predict":[200],"structure-specific":[201],"derive":[204],"clinically":[205],"relevant":[206],"measurements,":[207],"achieving":[208],"accuracies":[210],"96.4%,":[212],"95.6%,":[213],"89.2%":[215],"cardiomegaly,":[217],"kyphosis,":[218],"scoliosis,":[220],"respectively.":[221]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-05-20T00:00:00"}