Your browser doesn't support javascript.
loading
Nonalcoholic fatty liver disease (NAFLD) detection and deep learning in a Chinese community-based population.
Yang, Yang; Liu, Jing; Sun, Changxuan; Shi, Yuwei; Hsing, Julianna C; Kamya, Aya; Keller, Cody Auston; Antil, Neha; Rubin, Daniel; Wang, Hongxia; Ying, Haochao; Zhao, Xueyin; Wu, Yi-Hsuan; Nguyen, Mindie; Lu, Ying; Yang, Fei; Huang, Pinton; Hsing, Ann W; Wu, Jian; Zhu, Shankuan.
Affiliation
  • Yang Y; Chronic Disease Research Institute, The Children's Hospital, and National Clinical Research Center for Child Health, School of Public Health, School of Medicine, Zhejiang University, No.866 Yu Hang Tang Road, Hangzhou, 310058, Zhejiang, China.
  • Liu J; Department of Nutrition and Food Hygiene, School of Public Health, Zhejiang University, Hangzhou, Zhejiang, China.
  • Sun C; College of Computer Science and Technology, Zhejiang University, No.866 Yu Hang Tang Road, Hangzhou, 310058, China.
  • Shi Y; Chronic Disease Research Institute, The Children's Hospital, and National Clinical Research Center for Child Health, School of Public Health, School of Medicine, Zhejiang University, No.866 Yu Hang Tang Road, Hangzhou, 310058, Zhejiang, China.
  • Hsing JC; Department of Nutrition and Food Hygiene, School of Public Health, Zhejiang University, Hangzhou, Zhejiang, China.
  • Kamya A; Chronic Disease Research Institute, The Children's Hospital, and National Clinical Research Center for Child Health, School of Public Health, School of Medicine, Zhejiang University, No.866 Yu Hang Tang Road, Hangzhou, 310058, Zhejiang, China.
  • Keller CA; Department of Nutrition and Food Hygiene, School of Public Health, Zhejiang University, Hangzhou, Zhejiang, China.
  • Antil N; Center for Policy, Outcomes, and Prevention, Stanford University School of Medicine, Stanford, CA, USA.
  • Rubin D; Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
  • Wang H; Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
  • Ying H; Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
  • Zhao X; Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
  • Wu YH; Department of Biomedical Data Sciences, Stanford University School of Medicine, Stanford, CA, USA.
  • Nguyen M; Department of Ultrasound, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
  • Lu Y; Department of Big Data in Health Science, School of Public Health, Zhejiang University, Hangzhou, China.
  • Yang F; Chronic Disease Research Institute, The Children's Hospital, and National Clinical Research Center for Child Health, School of Public Health, School of Medicine, Zhejiang University, No.866 Yu Hang Tang Road, Hangzhou, 310058, Zhejiang, China.
  • Huang P; Department of Nutrition and Food Hygiene, School of Public Health, Zhejiang University, Hangzhou, Zhejiang, China.
  • Hsing AW; Stanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, 780 Welch Road, CJ Huang Building, Suite 250D, Stanford, CA, 94305, USA.
  • Wu J; Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA.
  • Zhu S; Division of Gastroenterology and Hepatology, Stanford University Medical Center, Stanford, CA, USA.
Eur Radiol ; 33(8): 5894-5906, 2023 Aug.
Article in En | MEDLINE | ID: mdl-36892645
Subject(s)
Key words
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Non-alcoholic Fatty Liver Disease / Deep Learning Type of study: Diagnostic_studies / Prognostic_studies Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: En Journal: Eur Radiol Journal subject: RADIOLOGIA Year: 2023 Document type: Article Affiliation country: China Country of publication: Alemania
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Non-alcoholic Fatty Liver Disease / Deep Learning Type of study: Diagnostic_studies / Prognostic_studies Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: En Journal: Eur Radiol Journal subject: RADIOLOGIA Year: 2023 Document type: Article Affiliation country: China Country of publication: Alemania