Residual convolutional neural network for predicting response of transarterial chemoembolization in hepatocellular carcinoma from CT imaging.BACKGROUND
 We built a predictive model from the outputs using the transfer learning techniques of a residual convolutional neural network (ResNet50). 
Residual convolutional neural network
We built a predictive model from the outputs using the transfer learning techniques of a residual convolutional neural network (ResNet50).  The ResNet50 model also had high AUCs for predicting the objective response of TACE therapy in patches and patients of three cohorts.  Decision curve analysis (DCA) showed that the ResNet50 model had a high net benefit in the two validation cohorts.



ResNet50