HyperDenseNet_pytorch
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How to preparing the data in order to run command line: python. mainHyperDenseNet.py
Dear @josedolz, My errors as following, please help me fix this error.
My the preparing the data:
And in each Training and Validation folder has : GT, T1, T1_IR, T2_FLAIR, and in each of these folders has GT.nii, T1.nii, T1_IR. nii, T2_FLAIR.nii.
Thank you, @josedolz very much.
Hi, I am not sure but this is how I understand the dataset tree :
DataBase_nii Training T1 im1.nii im2.nii ... T2 im1.nii im2.nii ... GT im1.nii im2.nii ... Validation T1 im1.nii im2.nii ... T2 im1.nii im2.nii ... GT im1.nii im2.nii ...
Hi, @antdelmas is right with the tree folders. In each image-type folder you should add all the images belonging to that modality. For example, if you have 10 training patients, the GT folder should have: im1.nii,img2.nii,...,img10.nii.
Jose