{"id":"https://openalex.org/W4407806646","doi":"https://doi.org/10.1109/iccv51701.2025.01961","title":"SegAnyPET: Universal Promptable Segmentation from Positron Emission Tomography Images","display_name":"SegAnyPET: Universal Promptable Segmentation from Positron Emission Tomography Images","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W4407806646","doi":"https://doi.org/10.1109/iccv51701.2025.01961"},"language":"en","primary_location":{"id":"doi:10.1109/iccv51701.2025.01961","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.01961","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite","doaj"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2502.14351","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yichi Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yichi Zhang","raw_affiliation_strings":["Fudan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100733668","display_name":"Le Xue","orcid":"https://orcid.org/0000-0003-2810-770X"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Le Xue","raw_affiliation_strings":["Fudan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100398462","display_name":"Wenbo Zhang","orcid":"https://orcid.org/0000-0002-8601-802X"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbo Zhang","raw_affiliation_strings":["Fudan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100655931","display_name":"Lanlan Li","orcid":"https://orcid.org/0000-0002-7485-2017"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lanlan Li","raw_affiliation_strings":["Fudan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100373049","display_name":"Yu\u2010Chen Liu","orcid":"https://orcid.org/0000-0002-2750-0182"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuchen Liu","raw_affiliation_strings":["Fudan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009754134","display_name":"Chen Jiang","orcid":"https://orcid.org/0000-0002-9740-9499"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Jiang","raw_affiliation_strings":["Shanghai Academy of Artificial Intelligence for Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Academy of Artificial Intelligence for Science","institution_ids":["https://openalex.org/I4210100255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101941144","display_name":"Yuan Cheng","orcid":"https://orcid.org/0000-0003-2502-9101"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Cheng","raw_affiliation_strings":["Fudan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019180907","display_name":"Qi Yuan","orcid":"https://orcid.org/0000-0002-1342-3374"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Qi","raw_affiliation_strings":["Fudan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"21107","last_page":"21116"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9965999722480774,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9965999722480774,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.973800003528595,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9465000033378601,"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/positron-emission-tomography","display_name":"Positron emission tomography","score":0.8464757204055786},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6173713803291321},{"id":"https://openalex.org/keywords/brain-positron-emission-tomography","display_name":"Brain positron emission tomography","score":0.525040864944458},{"id":"https://openalex.org/keywords/tomography","display_name":"Tomography","score":0.4850101172924042},{"id":"https://openalex.org/keywords/positron-emission","display_name":"Positron emission","score":0.4264228343963623},{"id":"https://openalex.org/keywords/positron","display_name":"Positron","score":0.4226700961589813},{"id":"https://openalex.org/keywords/nuclear-medicine","display_name":"Nuclear medicine","score":0.39772936701774597},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3660163879394531},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35097581148147583},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.29843688011169434},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.28256934881210327},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2366926372051239},{"id":"https://openalex.org/keywords/preclinical-imaging","display_name":"Preclinical imaging","score":0.20639029145240784},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.15744566917419434},{"id":"https://openalex.org/keywords/nuclear-physics","display_name":"Nuclear physics","score":0.1413131058216095}],"concepts":[{"id":"https://openalex.org/C2775842073","wikidata":"https://www.wikidata.org/wiki/Q208376","display_name":"Positron emission tomography","level":2,"score":0.8464757204055786},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6173713803291321},{"id":"https://openalex.org/C112390072","wikidata":"https://www.wikidata.org/wiki/Q4955834","display_name":"Brain positron emission tomography","level":4,"score":0.525040864944458},{"id":"https://openalex.org/C163716698","wikidata":"https://www.wikidata.org/wiki/Q841267","display_name":"Tomography","level":2,"score":0.4850101172924042},{"id":"https://openalex.org/C37097830","wikidata":"https://www.wikidata.org/wiki/Q1357356","display_name":"Positron emission","level":3,"score":0.4264228343963623},{"id":"https://openalex.org/C202100949","wikidata":"https://www.wikidata.org/wiki/Q3229","display_name":"Positron","level":3,"score":0.4226700961589813},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.39772936701774597},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3660163879394531},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35097581148147583},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.29843688011169434},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.28256934881210327},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2366926372051239},{"id":"https://openalex.org/C29331040","wikidata":"https://www.wikidata.org/wiki/Q7239554","display_name":"Preclinical imaging","level":3,"score":0.20639029145240784},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.15744566917419434},{"id":"https://openalex.org/C185544564","wikidata":"https://www.wikidata.org/wiki/Q81197","display_name":"Nuclear physics","level":1,"score":0.1413131058216095},{"id":"https://openalex.org/C147120987","wikidata":"https://www.wikidata.org/wiki/Q2225","display_name":"Electron","level":2,"score":0.0},{"id":"https://openalex.org/C150903083","wikidata":"https://www.wikidata.org/wiki/Q7108","display_name":"Biotechnology","level":1,"score":0.0},{"id":"https://openalex.org/C207001950","wikidata":"https://www.wikidata.org/wiki/Q141124","display_name":"In vivo","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":10,"locations":[{"id":"doi:10.1109/iccv51701.2025.01961","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.01961","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2502.14351","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2502.14351","pdf_url":"https://arxiv.org/pdf/2502.14351","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":"pmh:doi:10.5281/zenodo.16789747","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},{"id":"pmh:oai:doaj.org/article:83287c63164c4ab7a6bd901404e2848e","is_oa":true,"landing_page_url":"https://doaj.org/article/83287c63164c4ab7a6bd901404e2848e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scientific Data, Vol 13, Iss 1 (2026)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:13125245","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13125245/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sci Data","raw_type":"Text"},{"id":"doi:10.48550/arxiv.2502.14351","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2502.14351","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":"Preprint"},{"id":"doi:10.5281/zenodo.16789747","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.16789747","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Dataset"},{"id":"doi:10.5281/zenodo.16789748","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.16789748","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Dataset"},{"id":"doi:10.5281/zenodo.18670487","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.18670487","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Dataset"},{"id":"doi:10.5281/zenodo.19649618","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.19649618","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Dataset"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2502.14351","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2502.14351","pdf_url":"https://arxiv.org/pdf/2502.14351","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":[],"awards":[{"id":"https://openalex.org/G6148559213","display_name":null,"funder_award_id":"82394432,92249302","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321851","display_name":"Fudan University","ror":"https://ror.org/013q1eq08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2023362998","https://openalex.org/W2081959309","https://openalex.org/W2799023716","https://openalex.org/W2080281670","https://openalex.org/W145497621","https://openalex.org/W1963655545","https://openalex.org/W2056929691","https://openalex.org/W2271035641","https://openalex.org/W579219195","https://openalex.org/W2074037842"],"abstract_inverted_index":{"Positron":[0],"Emission":[1],"Tomography":[2],"(PET)":[3],"is":[4,33],"a":[5,12,147,169,213],"powerful":[6],"molecular":[7,109],"imaging":[8],"tool":[9],"that":[10,200],"plays":[11],"crucial":[13],"role":[14],"in":[15,61,67,72],"modern":[16],"medical":[17,88,96],"diagnostics":[18],"by":[19,51],"visualizing":[20],"radio-tracer":[21],"distribution":[22],"to":[23,125,181],"reveal":[24],"physiological":[25,100],"processes.":[26],"Accurate":[27],"organ":[28],"segmentation":[29,47,73,82,123,155,184],"from":[30,156,185],"PET":[31,110,122,131,157],"images":[32,97,132],"essential":[34],"for":[35,152,194,233],"comprehensive":[36],"multi-systemic":[37],"analysis":[38],"of":[39,58,87,163],"interactions":[40],"between":[41],"different":[42],"organs":[43,208],"and":[44,55,65,103,117,133,189,205,221,229],"pathologies.":[45],"Existing":[46],"methods":[48],"are":[49],"limited":[50,105],"insufficient":[52],"annotation":[53,165],"data":[54,188,193],"varying":[56],"levels":[57],"annotation,":[59],"resulting":[60],"weak":[62],"generalization":[63,106,231],"ability":[64,232],"difficulty":[66],"clinical":[68],"application.":[69],"Recent":[70],"developments":[71],"foundation":[74,150,219],"models":[75,220,225],"have":[76],"shown":[77],"superior":[78],"versatility":[79],"across":[80],"diverse":[81],"tasks.":[83],"Despite":[84],"the":[85,120,141,161],"efforts":[86],"adaptations,":[89],"these":[90],"works":[91],"primarily":[92],"focus":[93],"on":[94,108,140],"structural":[95,101],"with":[98,176,226],"detailed":[99],"information":[102],"exhibit":[104],"performance":[107],"imaging.":[111],"In":[112],"this":[113],"paper,":[114],"we":[115,144,167],"collect":[116],"construct":[118],"PETS-5k,":[119],"largest":[121],"dataset":[124],"date,":[126],"comprising":[127],"5,731":[128],"three-dimensional":[129],"whole-body":[130],"encompassing":[134],"over":[135],"1.3M":[136],"2D":[137],"images.":[138,158],"Based":[139],"established":[142],"dataset,":[143],"develop":[145],"SegAnyPET,":[146],"modality-specific":[148],"3D":[149],"model":[151],"universal":[153,234],"promptable":[154,195],"To":[159],"issue":[160],"challenge":[162],"discrepant":[164],"quality,":[166],"adopt":[168],"cross":[170],"prompting":[171],"confident":[172],"learning":[173],"(CPCL)":[174],"strategy":[175],"an":[177],"uncertainty-guided":[178],"self-rectification":[179],"process":[180],"robustly":[182],"learn":[183],"high-quality":[186],"labeled":[187,192],"low-quality":[190],"noisy":[191],"segmentation.":[196,235],"Experimental":[197],"results":[198],"demonstrate":[199],"SegAnyPET":[201],"can":[202],"segment":[203],"seen":[204],"unseen":[206],"target":[207],"using":[209],"only":[210],"one":[211],"or":[212],"few":[214],"prompt":[215],"points,":[216],"outperforming":[217],"state-of-the-art":[218],"task-specific":[222],"fully":[223],"supervised":[224],"higher":[227],"accuracy":[228],"strong":[230]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-18T07:39:51.176621","created_date":"2025-02-22T00:00:00"}
