Deep Learning CT-based Quantitative Visualization Tool for Liver Volume Estimation: Defining Normal and Hepatomegaly-Reference-Cited by-同舟云学术

Deep Learning CT-based Quantitative Visualization Tool for Liver Volume Estimation: Defining Normal and Hepatomegaly

Published:2022-01 Issue:2 Volume:302 Page:336-342
ISSN:0033-8419
Container-title:Radiology
language:en
Short-container-title:Radiology

Author:

Perez Alberto A.¹^ORCID,Noe-Kim Victoria¹,Lubner Meghan G.¹^ORCID,Graffy Peter M.¹^ORCID,Garrett John W.¹^ORCID,Elton Daniel C.¹^ORCID,Summers Ronald M.¹^ORCID,Pickhardt Perry J.¹^ORCID

Affiliation:

1. From the Department of Radiology, University of Wisconsin School of Medicine & Public Health, E3/311 Clinical Science Center, 600 Highland Ave, Madison, WI 53792-3252 (A.A.P., V.N.K., M.G.L., P.M.G., J.W.G., P.J.P.); and Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (D.C.E., R.M.S.).

Funder

Intramural Research Program of the National Institutes of Health (NIH) Clinical Center

Publisher

Radiological Society of North America (RSNA)

Subject

Radiology, Nuclear Medicine and imaging

Link

http://pubs.rsna.org/doi/pdf/10.1148/radiol.2021210531

Reference30 articles.

1. THE VOLUME OF THE LIVER IN PATIENTS CORRELATES TO BODY WEIGHT AND ALCOHOL CONSUMPTION

2. New formula for predicting standard liver volume in Chinese adults

3. Measurement of liver and spleen volume by computed tomography. Assessment of reproducibility and changes found following a selective distal splenorenal shunt.