Deep Learning based Medical Imaging Analysis

Abstract

The rapid accumulation of various medical Imaging data has brought great challenges to radiologists and clinicians who diagnose disease through traditional medical Imaging analysis methods. Deep learning, especially deep convolutional neural networks, can learn automatically latent disease features from medical imaging big data. Therefore, in recent years, deep learning based medical imaging analysis became a research hotspot in the academia. This article surveys applications in area of medical imaging analysis based on deep learning. Firstly the brief characteristics of medical imaging analysis are given; basic principles of deep learning models, especially various popular neural networks in deep learning algorithms are briefly introduced. Secondly, applications in area of medical imaging analysis are systematically reviewed. More importantly, latent challenges and future research directions are summarized.