Abstract
With the rapid evolution of the field of computer science, automatic diagnosis of medical images has become possible. This paper introduces the latest research progress and application of deep learning in the medical field. First of all, this paper introduces several common diseases, including the Alzheimer's disease, lung cancer, breast cancer, glaucoma, and diabetic eye disease, etc. Secondly, it introduces the basic methods of deep learning, including the convolutional neural network and multiple perceptron model Moreover, it introduces the application of these methods in the above disease diagnosis, mainly about the development process, data set and accuracy rate. Finally, the research orientation is summarized and further development of deep learning in medical imaging is proposed.
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