Deep learning–assisted differentiation of pathologically proven atypical and typical hepatocellular carcinoma (HCC) versus non-HCC on contrast-enhanced MRI of the liver-Reference-Cited by-同舟云学术

Deep learning–assisted differentiation of pathologically proven atypical and typical hepatocellular carcinoma (HCC) versus non-HCC on contrast-enhanced MRI of the liver

Published:2021-01-06 Issue:7 Volume:31 Page:4981-4990
ISSN:0938-7994
Container-title:European Radiology
language:en
Short-container-title:Eur Radiol

Author:

Oestmann Paula M.,Wang Clinton J.,Savic Lynn J.,Hamm Charlie A.,Stark Sophie,Schobert Isabel,Gebauer Bernhard,Schlachter Todd,Lin MingDe,Weinreb Jeffrey C.,Batra Ramesh,Mulligan David,Zhang Xuchen,Duncan James S.,Chapiro Julius

Funder

RSNA Research Resident Grant

National Institutes of Health

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s00330-020-07559-1.pdf

Reference20 articles.

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2. Wald C, Russo MW, Heimbach JK, Hussain HK, Pomfret EA, Bruix J (2013) New OPTN/UNOS policy for liver transplant allocation: standardization of liver imaging, diagnosis, classification, and reporting of hepatocellular carcinoma. Radiology 266:376–382. https://doi.org/10.1148/radiol.12121698