hello,I now think there might be something wrong with my preprocessing.My pretreatment process is as follows, do you think it is correct.
1:Use freesurfer to preprocess traing-images,traing-labels,testing-images,testing-labels into 256256256,command is mri_convert
--crop 128 128 134 input output;
2:Use the recon-all command to generate brainmask;
3:use ./data_utils/utils.py function convertTonpy() to convert data and brainmasks to numpy;
4:use ./data_utils/utils.py function remaplabels() to generate corresponding labels.
My collaborator did the preprocessing step (step1, 2), my work in primarily based on network design and model training. However, I remember we used mri_convert, but not crop. The rest looks good to me.
hello,I now think there might be something wrong with my preprocessing.My pretreatment process is as follows, do you think it is correct. 1:Use freesurfer to preprocess traing-images,traing-labels,testing-images,testing-labels into 256256256,command is mri_convert --crop 128 128 134 input output; 2:Use the recon-all command to generate brainmask; 3:use ./data_utils/utils.py function convertTonpy() to convert data and brainmasks to numpy; 4:use ./data_utils/utils.py function remaplabels() to generate corresponding labels.