Intervention of Hepatocellular Carcinoma in Fibrosis Staging Based on Multi-Parameter Magnetic Resonance Image Depth Learning Method

This paper mainly discusses the deep learning solution for non-invasive evaluation of the differentiation degree of hepatocellular carcinoma based on multi-parameter nuclear magnetic resonance images, combined with the clinical diagnosis experience of radiologists and the characteristics of nuclear...

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Bibliographic Details
Main Authors: Zhenhua Tian, Xudong Qu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9186686/