s A Survey of Deep Learning Based Methods in Medical Image Processing

Introduction: Recently, deep learning based methods have become an important approach to the accurate analysis of medical images. Materials and Methods: This paper provides a comprehensive survey of the most important deep learning based methods that have been developed for medical image processing. A number of important contributions made in the last five years are summarized and surveyed. Results: Specifically, deep learning-based algorithms developed for image segmentation, image classification, registration, object detection and other important problems are reviewed. Conclusion: In addition, an overview of challenges that currently exist in the field and potential directions for future research is provided at the end of the survey.