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