{"id":"https://openalex.org/W4318751795","doi":"https://doi.org/10.48550/arxiv.2301.12291","title":"CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans","display_name":"CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans","publication_year":2023,"publication_date":"2023-01-28","ids":{"openalex":"https://openalex.org/W4318751795","doi":"https://doi.org/10.48550/arxiv.2301.12291"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2301.12291","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2301.12291","pdf_url":"https://arxiv.org/pdf/2301.12291","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":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2301.12291","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083362398","display_name":"Jieneng Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Chen, Jieneng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075005282","display_name":"Yingda Xia","orcid":"https://orcid.org/0000-0002-7478-4392"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xia, Yingda","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075245264","display_name":"Jiawen Yao","orcid":"https://orcid.org/0000-0001-7429-2964"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yao, Jiawen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104074893","display_name":"Ke Yan","orcid":"https://orcid.org/0000-0001-6937-5618"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yan, Ke","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100658356","display_name":"Jianpeng Zhang","orcid":"https://orcid.org/0000-0003-1647-7447"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Jianpeng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045227579","display_name":"Le L\u00fc","orcid":"https://orcid.org/0000-0002-6799-9416"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lu, Le","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102727765","display_name":"Fakai Wang","orcid":"https://orcid.org/0000-0002-3750-2819"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Fakai","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100335355","display_name":"Bo Zhou","orcid":"https://orcid.org/0000-0003-1063-2493"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Bo","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062168471","display_name":"Mingyan Qiu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qiu, Mingyan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091431342","display_name":"Qihang Yu","orcid":"https://orcid.org/0000-0002-3994-5613"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Qihang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021464875","display_name":"Mingze Yuan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuan, Mingze","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086567612","display_name":"Wei Fang","orcid":"https://orcid.org/0000-0002-5561-7249"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fang, Wei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075225440","display_name":"Yuxin Tang","orcid":"https://orcid.org/0000-0001-9348-323X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tang, Yuxing","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014084894","display_name":"Minfeng Xu","orcid":"https://orcid.org/0000-0002-6553-5191"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Minfeng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100327157","display_name":"Jian Zhou","orcid":"https://orcid.org/0000-0001-9712-6301"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Jian","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070897418","display_name":"Yuqian Zhao","orcid":"https://orcid.org/0000-0002-7933-055X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Yuqian","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101633507","display_name":"Qifeng Wang","orcid":"https://orcid.org/0000-0002-7880-0476"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Qifeng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027212917","display_name":"Xianghua Ye","orcid":"https://orcid.org/0000-0002-4075-4777"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ye, Xianghua","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100568141","display_name":"Xiaoli Yin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yin, Xiaoli","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100328458","display_name":"Yu Shi","orcid":"https://orcid.org/0000-0003-1940-0074"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shi, Yu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100363084","display_name":"Xin Chen","orcid":"https://orcid.org/0000-0002-5406-4136"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Xin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057864403","display_name":"Jingren Zhou","orcid":"https://orcid.org/0000-0002-4220-2634"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Jingren","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086706224","display_name":"Alan Yuille","orcid":"https://orcid.org/0000-0001-5207-9249"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuille, Alan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112227828","display_name":"Zaiyi Liu","orcid":"https://orcid.org/0000-0002-9307-8522"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Zaiyi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5038765418","display_name":"Ling Zhang","orcid":"https://orcid.org/0000-0001-8371-5252"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Ling","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":25,"corresponding_author_ids":["https://openalex.org/A5083362398"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9991999864578247,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9991999864578247,"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/T10862","display_name":"AI in cancer detection","score":0.9952999949455261,"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/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9793000221252441,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7385445833206177},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7036983966827393},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.564181923866272},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4631037414073944},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.45791497826576233},{"id":"https://openalex.org/keywords/cancer-detection","display_name":"Cancer detection","score":0.4415467381477356},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.428608238697052},{"id":"https://openalex.org/keywords/medical-diagnosis","display_name":"Medical diagnosis","score":0.41590744256973267},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3948976397514343},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.3935227394104004},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.36427897214889526},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.28632649779319763}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7385445833206177},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7036983966827393},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.564181923866272},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4631037414073944},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.45791497826576233},{"id":"https://openalex.org/C2985322473","wikidata":"https://www.wikidata.org/wiki/Q3044843","display_name":"Cancer detection","level":3,"score":0.4415467381477356},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.428608238697052},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.41590744256973267},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3948976397514343},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.3935227394104004},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.36427897214889526},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.28632649779319763},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2301.12291","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2301.12291","pdf_url":"https://arxiv.org/pdf/2301.12291","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":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2301.12291","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2301.12291","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:2301.12291","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2301.12291","pdf_url":"https://arxiv.org/pdf/2301.12291","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":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8199999928474426,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4318751795.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4249377076","https://openalex.org/W4210389441","https://openalex.org/W2395241803","https://openalex.org/W2003211637","https://openalex.org/W2021488205","https://openalex.org/W2604451061","https://openalex.org/W2418110971","https://openalex.org/W2806095031","https://openalex.org/W2073770353","https://openalex.org/W2941485302"],"abstract_inverted_index":{"Human":[0],"readers":[1],"or":[2],"radiologists":[3],"routinely":[4],"perform":[5],"full-body":[6],"multi-organ":[7,152],"multi-disease":[8,213],"detection":[9,116],"and":[10,83,118,122,137,143,176,215,227],"diagnosis":[11,120],"in":[12,91,223],"clinical":[13,40],"practice,":[14],"while":[15],"most":[16],"medical":[17],"AI":[18,46],"systems":[19],"are":[20,181],"built":[21],"to":[22,49,53,76],"focus":[23],"on":[24],"single":[25],"organs":[26],"with":[27,101,183],"a":[28,32,59,62,70,96,162,203,235],"narrow":[29],"list":[30],"of":[31,45,58,104,141,147,167,174,194,205,218],"few":[33],"diseases.":[34],"This":[35,131,229],"might":[36],"severely":[37],"limit":[38],"AI's":[39],"adoption.":[41],"A":[42],"certain":[43],"number":[44],"models":[47,222],"need":[48],"be":[50],"assembled":[51],"non-trivially":[52],"match":[54],"the":[55,102,109,128,145,191],"diagnostic":[56],"process":[57],"human":[60],"reading":[61,155],"CT":[63,92,165],"scan.":[64],"In":[65],"this":[66],"paper,":[67],"we":[68],"construct":[69],"Unified":[71],"Tumor":[72],"Transformer":[73,99],"(CancerUniT)":[74],"model":[75,100],"jointly":[77],"detect":[78],"tumor":[79,85,115,119,185,224],"existence":[80],"&amp;":[81],"location":[82],"diagnose":[84],"characteristics":[86],"for":[87],"eight":[88,171,219],"major":[89,172],"cancers":[90,175],"scans.":[93],"CancerUniT":[94,157,197],"is":[95,158],"query-based":[97],"Mask":[98],"output":[103],"multi-tumor":[105],"prediction.":[106],"We":[107],"decouple":[108],"object":[110],"queries":[111,117],"into":[112],"organ":[113],"queries,":[114,121],"further":[123],"establish":[124],"hierarchical":[125],"relationships":[126],"among":[127],"three":[129],"groups.":[130],"clinically-inspired":[132],"architecture":[133],"effectively":[134],"assists":[135],"inter-":[136],"intra-organ":[138],"representation":[139],"learning":[140],"tumors":[142,179],"facilitates":[144],"resolution":[146],"these":[148],"complex,":[149],"anatomically":[150],"related":[151],"cancer":[153,239],"image":[154],"tasks.":[156],"trained":[159],"end-to-end":[160],"using":[161],"curated":[163],"large-scale":[164],"images":[166],"10,042":[168],"patients":[169],"including":[170],"types":[173],"occurring":[177],"non-cancer":[178],"(all":[180],"pathology-confirmed":[182],"3D":[184],"masks":[186],"annotated":[187],"by":[188],"radiologists).":[189],"On":[190],"test":[192],"set":[193,204],"631":[195],"patients,":[196],"has":[198],"demonstrated":[199],"strong":[200],"performance":[201,238],"under":[202],"clinically":[206],"relevant":[207],"evaluation":[208],"metrics,":[209],"substantially":[210],"outperforming":[211],"both":[212],"methods":[214],"an":[216],"assembly":[217],"single-organ":[220],"expert":[221],"detection,":[225],"segmentation,":[226],"diagnosis.":[228],"moves":[230],"one":[231],"step":[232],"closer":[233],"towards":[234],"universal":[236],"high":[237],"screening":[240],"tool.":[241]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-11T14:59:36.786465","created_date":"2025-10-10T00:00:00"}
