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Hello, I run the tranBTS code for 3D medical images, the shape of the generated attention weight is (Batch_size,num_heads, n_patches,n_patches ), is this not applicable to 3D images?
Thank you in advance!
The text was updated successfully, but these errors were encountered:
Thanks for your questions. In fact, I am sure what is your question. After downsampling, we reshape each volume into a feature vector instead of patch. I think you might be wondering is the way of patch-style applicable to 3D images. You can check for more details from our paper.
Hello, I run the tranBTS code for 3D medical images, the shape of the generated attention weight is (Batch_size,num_heads, n_patches,n_patches ), is this not applicable to 3D images?
Thank you in advance!
The text was updated successfully, but these errors were encountered: