Your browser doesn't support javascript.
loading
CT images-based 3D convolutional neural network to predict early recurrence of solitary hepatocellular carcinoma after radical hepatectomy.
Cui, Hao; Wang, Kun-Yuan; Li, Wen-Yuan; Zhu, Hong-Bo; Xiao, Lu-Shan; Liu, Li.
Affiliation
  • Cui H; Department of Medical Quality Management, Nanfang Hospital, Southern Medical University, Guangzhou, China; Hepatology Unit and Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Wang KY; Hepatology Unit and Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Li WY; Big data center, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Zhu HB; Hepatology Unit and Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China; Department of Oncology, The First Affiliated Hospital, University of South China, Hengyang, China.
  • Xiao LS; Hepatology Unit and Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Liu L; Department of Medical Quality Management, Nanfang Hospital, Southern Medical University, Guangzhou, China; Hepatology Unit and Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Diagn Interv Radiol ; 28(6): 524-531, 2022 Nov.
Article in En | MEDLINE | ID: mdl-36287132
Subject(s)
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Carcinoma, Hepatocellular / Liver Neoplasms Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Diagn Interv Radiol Journal subject: DIAGNOSTICO POR IMAGEM / RADIOLOGIA Year: 2022 Document type: Article Affiliation country: China Country of publication: Turkey
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Carcinoma, Hepatocellular / Liver Neoplasms Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Diagn Interv Radiol Journal subject: DIAGNOSTICO POR IMAGEM / RADIOLOGIA Year: 2022 Document type: Article Affiliation country: China Country of publication: Turkey