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Brain Tumor Segmentation from Multi-modality MRI Data Based on Tamura Texture
2019
DEStech Transactions on Computer Science and Engineering
A segmentation algorithm of brain tumor MR image based on Tamura texture feature and BP Neural Network is proposed in this paper. Firstly, the local grayscale features of four modal MR images are combined with the Tamura texture metrics in the algorithm. The information in the image is extracted as much as possible. Then, the known samples are input into the BP Neural Network and classifier training is performed. Finally, other brain tumor images are processed with the trained BP Neural
doi:10.12783/dtcse/ammms2018/27243
fatcat:33ui5qffr5brtddwtzwz73tcoq