Medical image data analysis method and system based on fused deep tensor nerve network
A medical imaging and neural network technology, applied in the field of medical image data analysis fused with deep tensor neural network, can solve the problems of destroying internal dependencies, unable to fully utilize the effective information of medical images, and high computational complexity, so as to improve reliability. and efficiency effects
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[0057] The present invention provides a medical image data analysis method and system integrated with a deep tensor neural network.
[0058] In order to describe the content of the present invention more clearly, the following combination Figure 1 to Figure 3 Introduce in detail the explanation of professional terms related to the present invention:
[0059] tensor data
[0060] In the field of medical imaging, medical images are often stored in tensor mode, for example, X-ray images, computed tomography images (CT images), and magnetic resonance images (MRI) are stored in matrices (second-order tensors). Diffusion tensor image (DTI) is represented by a third-order tensor, which is different from the vector mode representation method. The tensor mode representation can store more information that cannot be represented by the vector mode, such as the structural information of the original data, internal dependencies, etc. , which can better describe the patient's disease inf...
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