Intracranial hemorrhage subtype classification algorithm based on bilinear pooling applied to CT images
A CT image and intracranial hemorrhage technology, applied in the field of intelligent medical image processing, can solve the problems of high dependence and time-consuming doctor's professionalism, achieve the effect of excellent classification performance, improve the ability of feature expression, and solve the problem of sample mining
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[0040] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings, but it is not limited thereto. Any modification or equivalent replacement of the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention should be covered by the present invention. within the scope of protection.
[0041]The present invention provides an intracranial hemorrhage subtype classification algorithm based on bilinear pooling applied to CT images. This algorithm innovatively solves the problem of intracranial hemorrhage subtype classification from the perspective of fine-grained classification. The CNN part uses The compact bilinear pooling network architecture improves the feature expression ability of the neural network and improves the classification performance. Bilinear pooling has been proven to be an effective method for solving fine-grained class...
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