The invention discloses an adaptive variable-scale convolution kernel method based on brain MRI three-dimensional image confidence, belongs to the technical field of information and automatic control,and aims at automatically changing the size of a convolution kernel in real time to better extract features and obtaining confidences of frequency coding, phase coding and level selection coding directions of an MRI image. Correspondingly, if the confidence coefficient of the tumor region is high, more and large convolution kernel region extraction features are provided, otherwise, small and lessconvolution kernels are used for extracting features, so that computing resources are used at key positions, and the problem that the gray scale ranges of images obtained by different patients and different instruments are different is solved. And the MRI tumor image can be better segmented.
Adaptive variable-scale convolution kernel method based on brain MRI three-dimensional image confidence