Liver Steatosis Categorization on Contrast-Enhanced CT Using a Fully Automated Deep Learning Volumetric Segmentation Tool: Evaluation in 1204 Healthy Adults Using Unenhanced CT as aReference Standard-Reference-Cited by-同舟云学术

Liver Steatosis Categorization on Contrast-Enhanced CT Using a Fully Automated Deep Learning Volumetric Segmentation Tool: Evaluation in 1204 Healthy Adults Using Unenhanced CT as aReference Standard

Published:2020-09-16 Issue: Volume: Page:1-9
ISSN:0361-803X
Container-title:American Journal of Roentgenology
language:en
Short-container-title:American Journal of Roentgenology

Author:

Pickhardt Perry J.¹,Blake Glen M.²,Graffy Peter M.¹,Sandfort Veit³,Elton Daniel C.³,Perez Alberto A.¹,Summers Ronald M.³

Affiliation:

1. Department of Radiology, The University of Wisconsin School of Medicine & Public Health, E3/311 Clinical Science Center, 600 Highland Ave, Madison, WI 53792-3252.

2. Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, St Thomas' Hospital, London, United Kingdom.

3. Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD.

Publisher

American Roentgen Ray Society

Subject

Radiology Nuclear Medicine and imaging,General Medicine

Link

https://www.ajronline.org/doi/pdf/10.2214/AJR.20.24415

Reference45 articles.

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5. Visceral Adiposity and Hepatic Steatosis at Abdominal CT: Association With the Metabolic Syndrome

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