1. Institute of Public Basic, China Medical University, Shenyang Liaoning 110122, China丨 2. Department of Computer Science and
Technology, University of Chinese Academy of Sciences, Beijing 100049, China丨 3. Department of Medical Information, China
Medical University, Shenyang Liaoning 110122, China丨 4. Department of Medical Imaging, Liaoning Cancer Hospital,
Cancer Hospital of China Medical University, Shenyang Liaoning 110042, China
Abstract:With the rapidly development of medical image analysis technology and clinical image data, how to accurately diagnose,
classify and evaluate the prognosis of different diseases is a major challenge for the modern medical workers. Deep learning is a new
generation of artificial intelligence technology with high-throughput automatic extraction and high-dimensional feature information.
Deep learning has been widely used in the field of clinical medical big data analysis, it providing a new opportunity for identification,
accurate segmentation and auxiliary diagnosis of clinical medical images. This paper reviews the latest research progress of deep
learning technology in the field of medical image analysis丨 it also discusses the important methods and typical applications of deep
learning in medical image analysis such as MRI, CT, ultrasound and X-ray, and the prospect of deep learning artificial intelligence in
medical image analysis.