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., ...Daha Fazla

CLINICAL GASTROENTEROLOGY AND HEPATOLOGY, cilt.18, sa.13, ss.2998-3012, 2020 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 18 Sayı: 13
  • Basım Tarihi: 2020
  • Doi Numarası: 10.1016/j.cgh.2020.03.034
  • Dergi Adı: CLINICAL GASTROENTEROLOGY AND HEPATOLOGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, EMBASE, MEDLINE
  • Sayfa Sayıları: ss.2998-3012
  • Anahtar Kelimeler: HVPG, Diagnostic, Deep Learning, AI, ACCURATE MARKER, FIBROSIS, ELASTOGRAPHY, DIAGNOSIS, VARICES, INDEX, SCORE, SERUM, RISK
  • Ankara Üniversitesi Adresli: Evet

Özet

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.