Medical symptom detection method and system based on 3D variable convolution and sequential feature fusion, terminal and storage medium
A technology of feature fusion and detection methods, applied in neural learning methods, image data processing, image enhancement, etc., can solve the problems of underutilization, 3D network computing efficiency, multi-level related information loss, etc., and achieve the effect of improving detection performance
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[0068] In order to make the purpose, technical solutions and advantages of the embodiments of this application clearer, the technical solutions in the embodiments of this application will be described clearly and completely in conjunction with the drawings in the embodiments of this application. Obviously, the described embodiments It is a part of the embodiments of this application, but not all the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of this application.
[0069] Please refer to figure 1 , figure 1 A flow chart of a method for detecting medical signs based on 3D variable convolution and temporal feature fusion provided by an embodiment of this application, the method 100 includes:
[0070] S101: Acquire 3D input data of medical images or pseudo 3D input data stitched together by multiple consecutive 2D layers;
[0071] S102: Construct a ...
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