Research on Intelligent Aided Diagnosis System of Medical Image Based on Computer Deep Learning

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This paper combines Struts and Hibernate two architectures together, using DAO (Data Access Object) to store and access data.

• Then a set of dual-mode humidity medical image library suitable for deep network is established, and a dual-mode medical image assisted diagnosis method based on the image is proposed.
• Through the test of various feature extraction methods, the optimal operating characteristic under curve product (AUROC) is 0.9985, the recall rate is 0.9814, and the accuracy is 0.9833.
• This method can be applied to clinical diagnosis, and it is a practical method.