{"id":"https://openalex.org/W4406171623","doi":"https://doi.org/10.1109/tmi.2025.3526848","title":"CTUSurv: A Cell-Aware Transformer-Based Network With Uncertainty for Survival Prediction Using Whole Slide Images","display_name":"CTUSurv: A Cell-Aware Transformer-Based Network With Uncertainty for Survival Prediction Using Whole Slide Images","publication_year":2025,"publication_date":"2025-01-08","ids":{"openalex":"https://openalex.org/W4406171623","doi":"https://doi.org/10.1109/tmi.2025.3526848","pmid":"https://pubmed.ncbi.nlm.nih.gov/40031069"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2025.3526848","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2025.3526848","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5004991045","display_name":"Zhihao Tang","orcid":"https://orcid.org/0000-0003-1893-5421"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhihao Tang","raw_affiliation_strings":["Key Laboratory of Trustworthy Distributed Computing and Service (MoE), Beijing University of Posts and Telecommunications, Beijing, China","Key Laboratory of Trustworthy Distributed Computing and Service (MoE), Beijing University of Posts and Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Trustworthy Distributed Computing and Service (MoE), Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Key Laboratory of Trustworthy Distributed Computing and Service (MoE), Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101803866","display_name":"Lin Yang","orcid":"https://orcid.org/0000-0002-5964-3233"},"institutions":[{"id":"https://openalex.org/I4210089431","display_name":"National Cancer Center","ror":"https://ror.org/0065zqt33","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210089431"]},{"id":"https://openalex.org/I200296433","display_name":"Chinese Academy of Medical Sciences & Peking Union Medical College","ror":"https://ror.org/02drdmm93","country_code":"CN","type":"education","lineage":["https://openalex.org/I200296433"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Lin Yang","raw_affiliation_strings":["Department of Pathology, National Cancer Center, the National Clinical Research Center for Cancer, and the Cancer Hospital, Chinese Academy of Medical Sciences, Beijing, China","Department of Pathology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Pathology, National Cancer Center, the National Clinical Research Center for Cancer, and the Cancer Hospital, Chinese Academy of Medical Sciences, Beijing, China","institution_ids":["https://openalex.org/I200296433","https://openalex.org/I4210089431"]},{"raw_affiliation_string":"Department of Pathology, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042168344","display_name":"Zongyi Chen","orcid":"https://orcid.org/0000-0002-4267-2417"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongyi Chen","raw_affiliation_strings":["Key Laboratory of Trustworthy Distributed Computing and Service (MoE), Beijing University of Posts and Telecommunications, Beijing, China","Key Laboratory of Trustworthy Distributed Computing and Service (MoE), Beijing University of Posts and Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Trustworthy Distributed Computing and Service (MoE), Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Key Laboratory of Trustworthy Distributed Computing and Service (MoE), Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100434342","display_name":"Liu Li","orcid":"https://orcid.org/0000-0002-9746-0067"},"institutions":[{"id":"https://openalex.org/I200296433","display_name":"Chinese Academy of Medical Sciences & Peking Union Medical College","ror":"https://ror.org/02drdmm93","country_code":"CN","type":"education","lineage":["https://openalex.org/I200296433"]},{"id":"https://openalex.org/I4210089431","display_name":"National Cancer Center","ror":"https://ror.org/0065zqt33","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210089431"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Li Liu","raw_affiliation_strings":["Department of Pathology, National Cancer Center, the National Clinical Research Center for Cancer, and the Cancer Hospital, Chinese Academy of Medical Sciences, Beijing, China","Department of Pathology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Pathology, National Cancer Center, the National Clinical Research Center for Cancer, and the Cancer Hospital, Chinese Academy of Medical Sciences, Beijing, China","institution_ids":["https://openalex.org/I200296433","https://openalex.org/I4210089431"]},{"raw_affiliation_string":"Department of Pathology, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037831162","display_name":"Chaozhuo Li","orcid":"https://orcid.org/0000-0002-9867-1712"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaozhuo Li","raw_affiliation_strings":["Key Laboratory of Trustworthy Distributed Computing and Service (MoE), Beijing University of Posts and Telecommunications, Beijing, China","Key Laboratory of Trustworthy Distributed Computing and Service (MoE), Beijing University of Posts and Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Trustworthy Distributed Computing and Service (MoE), Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Key Laboratory of Trustworthy Distributed Computing and Service (MoE), Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034393902","display_name":"R. Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I200296433","display_name":"Chinese Academy of Medical Sciences & Peking Union Medical College","ror":"https://ror.org/02drdmm93","country_code":"CN","type":"education","lineage":["https://openalex.org/I200296433"]},{"id":"https://openalex.org/I4210089431","display_name":"National Cancer Center","ror":"https://ror.org/0065zqt33","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210089431"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Ruanqi Chen","raw_affiliation_strings":["Department of Pathology, National Cancer Center, the National Clinical Research Center for Cancer, and the Cancer Hospital, Chinese Academy of Medical Sciences, Beijing, China","Department of Pathology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Pathology, National Cancer Center, the National Clinical Research Center for Cancer, and the Cancer Hospital, Chinese Academy of Medical Sciences, Beijing, China","institution_ids":["https://openalex.org/I200296433","https://openalex.org/I4210089431"]},{"raw_affiliation_string":"Department of Pathology, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100672722","display_name":"Xi Zhang","orcid":"https://orcid.org/0000-0002-2111-7385"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Zhang","raw_affiliation_strings":["Key Laboratory of Trustworthy Distributed Computing and Service (MoE), Beijing University of Posts and Telecommunications, Beijing, China","Key Laboratory of Trustworthy Distributed Computing and Service (MoE), Beijing University of Posts and Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Trustworthy Distributed Computing and Service (MoE), Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Key Laboratory of Trustworthy Distributed Computing and Service (MoE), Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001341163","display_name":"Qingfeng Zheng","orcid":"https://orcid.org/0000-0002-9236-6178"},"institutions":[{"id":"https://openalex.org/I2801228662","display_name":"Peking Union Medical College Hospital","ror":"https://ror.org/04jztag35","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2801228662"]},{"id":"https://openalex.org/I200296433","display_name":"Chinese Academy of Medical Sciences & Peking Union Medical College","ror":"https://ror.org/02drdmm93","country_code":"CN","type":"education","lineage":["https://openalex.org/I200296433"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingfeng Zheng","raw_affiliation_strings":["Peking Union Medical College, Beijing, China","Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking Union Medical College, Beijing, China","institution_ids":["https://openalex.org/I2801228662","https://openalex.org/I200296433"]},{"raw_affiliation_string":"Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China","institution_ids":["https://openalex.org/I200296433"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5004991045"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":3.613,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.9089833,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"44","issue":"4","first_page":"1750","last_page":"1764"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9961000084877014,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/computer-science","display_name":"Computer science","score":0.7941671013832092},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6349549889564514},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6259417533874512},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4768843948841095},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.46529945731163025},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3576783835887909}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7941671013832092},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6349549889564514},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6259417533874512},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4768843948841095},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.46529945731163025},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3576783835887909},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D035501","descriptor_name":"Uncertainty","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D035501","descriptor_name":"Uncertainty","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D035501","descriptor_name":"Uncertainty","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D035501","descriptor_name":"Uncertainty","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2025.3526848","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2025.3526848","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:40031069","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40031069","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on medical imaging","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.4399999976158142}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322183","display_name":"Huawei Technologies","ror":"https://ror.org/00cmhce21"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W1213336605","https://openalex.org/W2018116321","https://openalex.org/W2103243046","https://openalex.org/W2116341502","https://openalex.org/W2117539524","https://openalex.org/W2120615054","https://openalex.org/W2126563020","https://openalex.org/W2132165198","https://openalex.org/W2149199519","https://openalex.org/W2194775991","https://openalex.org/W2565076790","https://openalex.org/W2571620227","https://openalex.org/W2618999197","https://openalex.org/W2745940724","https://openalex.org/W2752879928","https://openalex.org/W2760946358","https://openalex.org/W2795989238","https://openalex.org/W2890655214","https://openalex.org/W2915853139","https://openalex.org/W2950852589","https://openalex.org/W2988856610","https://openalex.org/W2996092187","https://openalex.org/W2999784105","https://openalex.org/W3008401263","https://openalex.org/W3037083567","https://openalex.org/W3042609801","https://openalex.org/W3043535018","https://openalex.org/W3131500599","https://openalex.org/W3135547872","https://openalex.org/W3138516171","https://openalex.org/W3152893301","https://openalex.org/W3162548489","https://openalex.org/W3175191608","https://openalex.org/W3177017840","https://openalex.org/W3179262290","https://openalex.org/W3183048323","https://openalex.org/W3193287414","https://openalex.org/W3204764952","https://openalex.org/W4211230886","https://openalex.org/W4213019189","https://openalex.org/W4234404428","https://openalex.org/W4283816523","https://openalex.org/W4298425477","https://openalex.org/W4308149258","https://openalex.org/W4311166435","https://openalex.org/W4312349930","https://openalex.org/W4312468136","https://openalex.org/W4312504619","https://openalex.org/W4321378969","https://openalex.org/W4382460188","https://openalex.org/W4386989161","https://openalex.org/W4398201291","https://openalex.org/W6602977847","https://openalex.org/W6637373629","https://openalex.org/W6684191040","https://openalex.org/W6739901393","https://openalex.org/W6744106388","https://openalex.org/W6767129537","https://openalex.org/W6774743317","https://openalex.org/W6792546758","https://openalex.org/W6798913353","https://openalex.org/W6809756325","https://openalex.org/W6846148735"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W2961085424","https://openalex.org/W3215138031","https://openalex.org/W4306674287","https://openalex.org/W3009238340","https://openalex.org/W4360585206","https://openalex.org/W4321369474","https://openalex.org/W4285208911","https://openalex.org/W4387369504","https://openalex.org/W3046775127"],"abstract_inverted_index":{"Image-based":[0],"survival":[1,27,76,99],"prediction":[2,28,77],"through":[3],"deep":[4,23],"learning":[5,24],"techniques":[6],"represents":[7],"a":[8,32,74,89,126,142],"burgeoning":[9],"frontier":[10],"aimed":[11],"at":[12,153],"augmenting":[13],"the":[14,36,96,119,134,154,163],"diagnostic":[15],"capabilities":[16],"of":[17,41,49,64,98,165,171],"pathologists.":[18],"However,":[19],"directly":[20],"applying":[21],"existing":[22],"models":[25],"to":[26,35,80,94,109,132,148],"may":[29],"not":[30],"be":[31],"panacea":[33],"due":[34],"inherent":[37,57],"complexity":[38],"and":[39,56,66,84,175],"sophistication":[40],"whole":[42],"slide":[43],"images":[44],"(WSIs).":[45],"The":[46],"intricate":[47],"nature":[48],"high-resolution":[50,115],"WSIs,":[51],"characterized":[52],"by":[53,88,122],"sophisticated":[54,123],"patterns":[55],"noise,":[58],"presents":[59],"significant":[60],"challenges":[61,120],"in":[62,169],"terms":[63,170],"effectiveness":[65],"trustworthiness.":[67],"In":[68],"this":[69],"paper,":[70],"we":[71],"propose":[72],"CTUSurv,":[73],"novel":[75,143],"model":[78,133],"designed":[79],"simultaneously":[81],"capture":[82],"cell-to-cell":[83],"cell-to-microenvironment":[85],"interactions,":[86],"complemented":[87],"region-based":[90],"uncertainty":[91,145,151],"estimation":[92,146],"framework":[93],"assess":[95],"reliability":[97],"predictions.":[100],"Our":[101],"approach":[102,168],"incorporates":[103],"an":[104],"innovative":[105],"region":[106,155],"sampling":[107],"strategy":[108],"extract":[110],"task-relevant,":[111],"informative":[112],"regions":[113],"from":[114],"WSIs.":[116],"To":[117],"address":[118],"posed":[121],"biological":[124,137],"patterns,":[125],"cell-aware":[127],"encoding":[128],"module":[129,147],"is":[130],"integrated":[131],"interactions":[135],"among":[136],"entities.":[138],"Furthermore,":[139],"CTUSurv":[140],"includes":[141],"aleatoric":[144],"provide":[149],"fine-grained":[150],"scores":[152],"level.":[156],"Extensive":[157],"evaluations":[158],"across":[159],"four":[160],"datasets":[161],"demonstrate":[162],"superiority":[164],"our":[166],"proposed":[167],"both":[172],"predictive":[173],"accuracy":[174],"reliability.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}