{"id":"https://openalex.org/W4317419746","doi":"https://doi.org/10.1109/gcce56475.2022.10014204","title":"Deep Learning-based Risk Prediction Model for Recurrence-free Survival in Patients with Hepatocellular Carcinoma Using Multi-phase CT Image","display_name":"Deep Learning-based Risk Prediction Model for Recurrence-free Survival in Patients with Hepatocellular Carcinoma Using Multi-phase CT Image","publication_year":2022,"publication_date":"2022-10-18","ids":{"openalex":"https://openalex.org/W4317419746","doi":"https://doi.org/10.1109/gcce56475.2022.10014204"},"language":"en","primary_location":{"id":"doi:10.1109/gcce56475.2022.10014204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce56475.2022.10014204","pdf_url":null,"source":{"id":"https://openalex.org/S4363607800","display_name":"2022 IEEE 11th Global Conference on Consumer Electronics (GCCE)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 11th Global Conference on Consumer Electronics (GCCE)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5100667349","display_name":"Weibin Wang","orcid":"https://orcid.org/0000-0002-8581-290X"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Weibin Wang","raw_affiliation_strings":["Ritsumeikan University,Graduate School of Information Science and Engineering,Kusatsu,Japan","Graduate School of Information Science and Engineering, Ritsumeikan University, Kusatsu, Japan"],"affiliations":[{"raw_affiliation_string":"Ritsumeikan University,Graduate School of Information Science and Engineering,Kusatsu,Japan","institution_ids":["https://openalex.org/I135768898"]},{"raw_affiliation_string":"Graduate School of Information Science and Engineering, Ritsumeikan University, Kusatsu, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100321492","display_name":"Fang Wang","orcid":"https://orcid.org/0009-0003-8892-6173"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]},{"id":"https://openalex.org/I2802390878","display_name":"Sir Run Run Shaw Hospital","ror":"https://ror.org/00ka6rp58","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2802390878"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Wang","raw_affiliation_strings":["Zhejiang University,Department of Radiology, Sir Run Run Shaw Hospital,Hangzhou,China","Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,Department of Radiology, Sir Run Run Shaw Hospital,Hangzhou,China","institution_ids":["https://openalex.org/I2802390878"]},{"raw_affiliation_string":"Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I2802390878","https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066168143","display_name":"Yunjun Yang","orcid":"https://orcid.org/0000-0003-2080-2417"},"institutions":[{"id":"https://openalex.org/I2801769982","display_name":"First Affiliated Hospital of Wenzhou Medical University","ror":"https://ror.org/03cyvdv85","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2801769982"]},{"id":"https://openalex.org/I27781120","display_name":"Wenzhou Medical University","ror":"https://ror.org/00rd5t069","country_code":"CN","type":"education","lineage":["https://openalex.org/I27781120"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunjun Yang","raw_affiliation_strings":["Wenzhou Medical University,Department of Radiology, The First Affiliated Hospital,Wenzhou,China","Department of Radiology, The First Affiliated Hospital, Wenzhou Medical University, Wenzhou, China"],"affiliations":[{"raw_affiliation_string":"Wenzhou Medical University,Department of Radiology, The First Affiliated Hospital,Wenzhou,China","institution_ids":["https://openalex.org/I27781120","https://openalex.org/I2801769982"]},{"raw_affiliation_string":"Department of Radiology, The First Affiliated Hospital, Wenzhou Medical University, Wenzhou, China","institution_ids":["https://openalex.org/I27781120","https://openalex.org/I2801769982"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010150695","display_name":"Yinhao Li","orcid":"https://orcid.org/0000-0002-8924-5279"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yinhao Li","raw_affiliation_strings":["Ritsumeikan University,College of Information Science and Engineering,Kusatsu,Japan","College of Information Science and Engineering, Ritsumeikan University, Kusatsu, Japan"],"affiliations":[{"raw_affiliation_string":"Ritsumeikan University,College of Information Science and Engineering,Kusatsu,Japan","institution_ids":["https://openalex.org/I135768898"]},{"raw_affiliation_string":"College of Information Science and Engineering, Ritsumeikan University, Kusatsu, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100375073","display_name":"Jing Liu","orcid":"https://orcid.org/0000-0002-9031-6433"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Liu","raw_affiliation_strings":["Research Center for Healthcare Data Science Zhejiang Lab,Hangzhou,China","Research Center for Healthcare Data Science Zhejiang Lab, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Research Center for Healthcare Data Science Zhejiang Lab,Hangzhou,China","institution_ids":["https://openalex.org/I4210123185"]},{"raw_affiliation_string":"Research Center for Healthcare Data Science Zhejiang Lab, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086851360","display_name":"Xian\u2010Hua Han","orcid":"https://orcid.org/0000-0002-5003-3180"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Xianhua Han","raw_affiliation_strings":["Ritsumeikan University,College of Information Science and Engineering,Kusatsu,Japan","College of Information Science and Engineering, Ritsumeikan University, Kusatsu, Japan"],"affiliations":[{"raw_affiliation_string":"Ritsumeikan University,College of Information Science and Engineering,Kusatsu,Japan","institution_ids":["https://openalex.org/I135768898"]},{"raw_affiliation_string":"College of Information Science and Engineering, Ritsumeikan University, Kusatsu, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090814258","display_name":"Lanfen Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lanfen Lin","raw_affiliation_strings":["Zhejiang University,College of Computer Science and Technology,Hangzhou,China","College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,College of Computer Science and Technology,Hangzhou,China","institution_ids":["https://openalex.org/I168879160"]},{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057181928","display_name":"Ruofeng Tong","orcid":"https://orcid.org/0000-0002-8167-5354"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruofeng Tong","raw_affiliation_strings":["Zhejiang University,College of Computer Science and Technology,Hangzhou,China","College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,College of Computer Science and Technology,Hangzhou,China","institution_ids":["https://openalex.org/I168879160"]},{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057452864","display_name":"Hongjie Hu","orcid":"https://orcid.org/0000-0002-9859-5860"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]},{"id":"https://openalex.org/I2802390878","display_name":"Sir Run Run Shaw Hospital","ror":"https://ror.org/00ka6rp58","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2802390878"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongjie Hu","raw_affiliation_strings":["Zhejiang University,Department of Radiology, Sir Run Run Shaw Hospital,Hangzhou,China","Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,Department of Radiology, Sir Run Run Shaw Hospital,Hangzhou,China","institution_ids":["https://openalex.org/I2802390878"]},{"raw_affiliation_string":"Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I2802390878","https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044216245","display_name":"Yen\u2010Wei Chen","orcid":"https://orcid.org/0000-0002-5952-0188"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yen-Wei Chen","raw_affiliation_strings":["Ritsumeikan University,College of Information Science and Engineering,Kusatsu,Japan","College of Information Science and Engineering, Ritsumeikan University, Kusatsu, Japan"],"affiliations":[{"raw_affiliation_string":"Ritsumeikan University,College of Information Science and Engineering,Kusatsu,Japan","institution_ids":["https://openalex.org/I135768898"]},{"raw_affiliation_string":"College of Information Science and Engineering, Ritsumeikan University, Kusatsu, Japan","institution_ids":["https://openalex.org/I135768898"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5100667349"],"corresponding_institution_ids":["https://openalex.org/I135768898"],"apc_list":null,"apc_paid":null,"fwci":0.6701,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.72968119,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"926","last_page":"929"},"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":0.9995999932289124,"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":0.9995999932289124,"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/T10073","display_name":"Hepatocellular Carcinoma Treatment and Prognosis","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2721","display_name":"Hepatology"},"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":0.9779999852180481,"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/hepatocellular-carcinoma","display_name":"Hepatocellular carcinoma","score":0.613900899887085},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6123021841049194},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5852761268615723},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.516620934009552},{"id":"https://openalex.org/keywords/proportional-hazards-model","display_name":"Proportional hazards model","score":0.49691203236579895},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.48981210589408875},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4197167158126831},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.30973243713378906},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.20956143736839294}],"concepts":[{"id":"https://openalex.org/C2778019345","wikidata":"https://www.wikidata.org/wiki/Q1148337","display_name":"Hepatocellular carcinoma","level":2,"score":0.613900899887085},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6123021841049194},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5852761268615723},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.516620934009552},{"id":"https://openalex.org/C50382708","wikidata":"https://www.wikidata.org/wiki/Q223218","display_name":"Proportional hazards model","level":2,"score":0.49691203236579895},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.48981210589408875},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4197167158126831},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.30973243713378906},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.20956143736839294},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcce56475.2022.10014204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce56475.2022.10014204","pdf_url":null,"source":{"id":"https://openalex.org/S4363607800","display_name":"2022 IEEE 11th Global Conference on Consumer Electronics (GCCE)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 11th Global Conference on Consumer Electronics (GCCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1969489445","https://openalex.org/W1987369327","https://openalex.org/W2069563889","https://openalex.org/W2151570219","https://openalex.org/W2194775991","https://openalex.org/W2277004004","https://openalex.org/W2412080412","https://openalex.org/W2753919178","https://openalex.org/W2892351803","https://openalex.org/W3000099925","https://openalex.org/W3034449184","https://openalex.org/W3043909624","https://openalex.org/W3165295438","https://openalex.org/W3203869004","https://openalex.org/W4210955410","https://openalex.org/W4220787016","https://openalex.org/W4220834859","https://openalex.org/W4232620598"],"related_works":["https://openalex.org/W2417822880","https://openalex.org/W628600844","https://openalex.org/W1570838273","https://openalex.org/W2410885201","https://openalex.org/W2385390897","https://openalex.org/W3172842848","https://openalex.org/W2418745692","https://openalex.org/W2404951810","https://openalex.org/W2800415451","https://openalex.org/W4380075502"],"abstract_inverted_index":{"Risk":[0],"prediction":[1,15],"for":[2,8,133],"recurrence":[3],"is":[4],"a":[5,73,97,126],"critical":[6],"task":[7],"patients":[9,86],"with":[10,53,87,113],"hepatocellular":[11],"carcinoma":[12],"(HCC).":[13],"Effective":[14],"can":[16],"evaluate":[17],"treatment":[18],"options":[19],"and":[20,104,117,131,138],"guide":[21],"personalized":[22],"medicine.":[23],"Traditional":[24],"approaches":[25],"use":[26],"clinical":[27,115],"data":[28],"to":[29,33,77],"construct":[30],"cox-regression":[31],"models":[32,110,116],"predict":[34,78],"the":[35,79,134],"risk":[36,80],"of":[37,46,81,129],"recurrence.":[38,82],"Recently,":[39],"prognosis":[40],"analysis":[41],"based":[42],"on":[43],"image":[44,66],"information":[45],"patient":[47],"often":[48],"has":[49,60],"better":[50,118],"performance":[51,119,128],"compared":[52,112],"traditional":[54,114],"approaches.":[55],"In":[56,68],"particular,":[57],"deep":[58,74],"learning":[59],"demonstrated":[61],"its":[62],"superiority":[63],"in":[64],"medical":[65],"processing.":[67],"this":[69],"paper,":[70],"we":[71],"propose":[72],"learning-based":[75],"model":[76],"We":[83],"collected":[84],"292":[85],"HCC":[88],"from":[89],"two":[90],"independent":[91],"centers,":[92],"which":[93],"were":[94,111],"divided":[95],"into":[96],"training":[98],"set,":[99,103,141],"an":[100,105],"internal":[101,135],"validation":[102,107,136,140],"external":[106,139],"set.":[108],"Our":[109,122],"was":[120],"obtained.":[121],"proposed":[123],"method":[124],"achieves":[125],"C-index":[127],"0.627":[130],"0.630":[132],"set":[137],"respectively.":[142]},"counts_by_year":[{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
