Prediction of recurrence and survival using big
data analytics and machine learning in patients
with hepatocellular carcinoma after curative
surgery: abridged secondary publication
EYP Lee, M Kuo, KCK Ng, YC Wu, P Cao, CL Chiang, WCL Chan, TT Cheung, KWH Chiu
Department of Diagnostic Radiology, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- A deep-learning model was developed using preoperative computed tomography to predict hepatocellular carcinoma recurrence.
- Compared with microvascular invasion, Recurr-NET demonstrated superior risk stratification in predicting hepatocellular carcinoma recurrence.
- Recurr-NET can be used for preoperative prognostication in hepatocellular carcinoma.