Deep learning LI-RADS grading system based on contrast enhanced multiphase MRI for differentiation between LR-3 and LR-4/LR-5 liver tumors.

Wu, Yunan; White, Gregory M; Cornelius, Tyler; Gowdar, Indraneel; Ansari, Mohammad H; Supanich, Mark P; Deng, Jie

Wu, Yunan; White, Gregory M; Cornelius, Tyler; Gowdar, Indraneel; Ansari, Mohammad H; Supanich, Mark P; Deng, Jie.

Afiliação

Wu Y; Department of Diagnostic Radiology and Nuclear Medicine, Rush University Medical Center, Chicago, IL, USA.
White GM; Department of Biomedical Engineering, Northwestern University, Evanston, IL, USA.
Cornelius T; Department of Diagnostic Radiology and Nuclear Medicine, Rush University Medical Center, Chicago, IL, USA.
Gowdar I; Department of Diagnostic Radiology and Nuclear Medicine, Rush University Medical Center, Chicago, IL, USA.
Ansari MH; Department of Diagnostic Radiology and Nuclear Medicine, Rush University Medical Center, Chicago, IL, USA.
Supanich MP; Department of Diagnostic Radiology and Nuclear Medicine, Rush University Medical Center, Chicago, IL, USA.
Deng J; Department of Diagnostic Radiology and Nuclear Medicine, Rush University Medical Center, Chicago, IL, USA.

Ann Transl Med ; 8(11): 701, 2020 Jun.

Article em En | MEDLINE | ID: mdl-32617321

Palavras-chave

Deep learning (DL); LI-RADS; MRI; convolutional neural network (CNN); hepatocellular carcinoma (HCC)

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Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Guideline Idioma: En Revista: Ann Transl Med Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos

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