Deep Convolutional Neural Network-Aided Detection of Portal Hypertension in Patients With Cirrhosis


Liu Y., Ning Z., Ormeci N., An W., Yu Q., Han K., ...More

CLINICAL GASTROENTEROLOGY AND HEPATOLOGY, vol.18, no.13, pp.2998-3012, 2020 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 18 Issue: 13
  • Publication Date: 2020
  • Doi Number: 10.1016/j.cgh.2020.03.034
  • Journal Name: CLINICAL GASTROENTEROLOGY AND HEPATOLOGY
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, EMBASE, MEDLINE
  • Page Numbers: pp.2998-3012
  • Keywords: HVPG, Diagnostic, Deep Learning, AI, ACCURATE MARKER, FIBROSIS, ELASTOGRAPHY, DIAGNOSIS, VARICES, INDEX, SCORE, SERUM, RISK
  • Ankara University Affiliated: Yes

Abstract

BACKGROUND & AIMS: Noninvasive and accurate methods are needed to identify patients with clinically significant portal hypertension (CSPH). We investigated the ability of deep convolutional neural network (CNN) analysis of computed tomography (CT) or magnetic resonance (MR) to identify patients with CSPH.