Image classification of hepatic echinococcosis based on convolutional neural network

To explore the application of convolutional neural network(CNN) in CT image diagnosis of hepatic hydatid disease, we implement a classification using deep learning. An improved Lenet-5 was proposed to conduct image classification experiments and achieved 97.84 precision. Dropout layer and regularization strategy are adopted to prevent overfitting, which improves the performance of experimental classification. Collected CT images of normal liver,...