A deep learning model with incorporation of microvascular invasion area as a factor in predicting prognosis of hepatocellular carcinoma after R0 hepatectomy.

Kang WangYanjun XiangJiangpeng YanYuyao ZhuHanbo ChenHongming YuYuqiang ChengXiu LiWei DongYan JiJingjing LiDong XieWan Yee LauJianhua YaoShu-Qun Cheng

Published in: Hepatology international (2022)

The deep learning model, by incorporating the maximal MVI area as an additional prognostic factor to the other previously known independent risk factors, predicted more accurately postoperative long-term OS for HCC patients with MVI after R0 liver resection.

Keyphrases

deep learning
prognostic factors
risk factors
artificial intelligence
convolutional neural network
machine learning
patients undergoing
cell migration
resistance training
high intensity