Diagnosis of significant liver fibrosis in patients with chronic hepatitis B using a deep learning-based data integration network.

Zhong LiuHuiying WenZiqi ZhuQinyuan LiLi LiuTianjiao LiWencong XuChao HouBin HuangZhiyan LiChangfeng DongXin Chen

Published in: Hepatology international (2022)

The joint use of ultrasound images of liver parenchyma, liver stiffness values, and patients' clinical parameters in a deep learning model could significantly improve the diagnosis of ≥ F2 in CHB patients.

Keyphrases

deep learning
end stage renal disease
liver fibrosis
ejection fraction
newly diagnosed
chronic kidney disease
prognostic factors
magnetic resonance imaging
convolutional neural network
artificial intelligence
computed tomography
patient reported outcomes