Abstract

Info

Title:: Principle of convolutional neural network and its applications in medical imaging diagnosis

Author(s):: WANG Xiao; ZHU Enzhao; AI Zisheng; Department of Medical Statistics, School of Medicine, Tongji University, Shanghai 200092, China

Keywords:: Keywords: artificial intelligence convolutional neural network medical imaging medical diagnosis review

Abstract:: Abstract: Convolutional neural network can realize the localization, classification and other tasks for the large amounts of medical imaging data by analyzing and processing the medical imaging data swiftly and efficiently, thereby improving the efficiency of medical diagnosis and treatment. Starting from the introduction on the background and principle of convolutional neural network, the application scenarios of various types of convolutional neural networks are presented, and the applications of some commonly-used neural network models, including residual convolutional neural network, U-net, recurrent convolutional neural network in medical imaging diagnosis are summarized. Finally, the future prospects and challenges of convolutional neural network and artificial intelligence are discussed.