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Since the current model cannot do much more than finding the correct value to color the spinal coord with, i am going to try to find a Healthy brain dataset in order to train a new model on it and see if the method can be more relevant on a it.
Thus i have to gather:
-A healthy brain dataset with a couple hundreds of subjects.
-A brain dataset with similar acquisition parameters (contrast, resolution) and visible lesions.
The text was updated successfully, but these errors were encountered:
As the brain cannot be reduced to a 32x256x256 volume, I tried to reduce lower the latent space size by a factor 2 on each dimension shape in order to allow the management of 256x256x256 volumes. Event if this actually is the recommended latent space size in original paper, I have very blurry results that cannot be considered descent counterfactual.
I should stick to a larger latent space size and try to center on the brain better in order to try 128x128x128. Nevertheless, it means that the entire brain cannot be processed at once.
Since the current model cannot do much more than finding the correct value to color the spinal coord with, i am going to try to find a Healthy brain dataset in order to train a new model on it and see if the method can be more relevant on a it.
Thus i have to gather:
-A healthy brain dataset with a couple hundreds of subjects.
-A brain dataset with similar acquisition parameters (contrast, resolution) and visible lesions.
The text was updated successfully, but these errors were encountered: