A Disease Detection Method of Liver Based on Improved Convolutional Neural Network

The computer-aid diagnosis of liver disease plays an important role in timely detection and treatment of liver. Convolutional Neural Network (CNN) get problems of low accuracy. This paper introduces a method based on improved CNN and Random Forest(RF), which has a higher accuracy than traditional CNN.