Abstract
In the area of computer vision, deep learning methods have demonstrated superior performance. Specifically, in the domain of medical imaging analysis, these methods are rapidly becoming state-of-the- art, achieving magnificent performances in many medical applications. This paper aims to survey the use of deep learning methods in medical imaging research. It will be an essential tool for diagnosis and prognosis in the era of precision medicine that can assist doctors and experts in the medical field in the treatment of diseases.
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