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At present, the various modalities of medical image data accumulate rapidly, bringing great challenges to doc­ tors who diagnose disease through traditional medical image analysis methods. Deep learning method has gained great success and become more and more popular in the computer vision field. All that case provides new chances for automatic medical image analysis and makes high precisely computer-aided disease diagnosis possible. In this paper, we reviewed state-of-the-art research progress of deep learning in the medical image field. Firstly, the method of deep learning and its application in the field of medical imaging are introduced. Then attention is focused on specific research progress of deep learning method in several typical and popular disease. Finally, the tendency of this research field is summarized? and then the existing problems and recommendations are put forward.

基于深度学习的医学影像诊断综述 (Review for Deep Learning Based on Medical Imaging Diagnosis).