Predicting Overall Survival with Deep Learning from 18F-FDG PET-CT Images in Patients with Hepatocellular Carcinoma before Liver Transplantation

Predicting Overall Survival with Deep Learning from 18F-FDG PET-CT Images in Patients with Hepatocellular Carcinoma before Liver Transplantation

Positron emission tomography and computed tomography with 18F-fluorodeoxyglucose (18F-FDG PET-CT) were used to predict outcomes after liver transplantation in patients with hepatocellular carcinoma (HCC). However, few approaches for prediction based on 18F-FDG PET-CT images that leverage automatic l...

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Bibliographic Details
Main Authors:	Yung-Chi Lai, Kuo-Chen Wu, Chao-Jen Chang, Yi-Jin Chen, Kuan-Pin Wang, Long-Bin Jeng, Chia-Hung Kao
Format:	Article
Language:	English
Published:	MDPI AG 2023-03-01
Series:	Diagnostics
Subjects:	18F-fluorodeoxyglucose (18F-FDG) positron emission tomography and computed tomography (PET-CT) hepatocellular carcinoma (HCC) liver transplantation (LT) deep learning
Online Access:	https://www.mdpi.com/2075-4418/13/5/981

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