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I started slecting the data I really wanted to train the model on, for instance to remove images with motion artefacts.
But I realized there is still one dataset I'm really struggling with : dcm-zurich.
On those axial acquisitions, I can't really say if some parts are associated with the canal, or not.
Especially on the disks levels I don't know how to segment, for instance here :
Taking or not taking the green part ?
Or here : I don't jnow if the yellow circles better than the green, or neither are really accurate ?
May be you would have ideas @SomeoneInParticular@sandrinebedard@maxradx ?
Those are not particular cases, the whole dataset is interesting for dcm cases and almost every image creates the type of doubts....
The text was updated successfully, but these errors were encountered:
I started slecting the data I really wanted to train the model on, for instance to remove images with motion artefacts.
But I realized there is still one dataset I'm really struggling with : dcm-zurich.
On those axial acquisitions, I can't really say if some parts are associated with the canal, or not.
For instance on this subject, here is the image and the actual segmentation (not really good I think)
sub-878584_acq-axial_T2w_050_0000.nii.gz
sub-878584_acq-axial_T2w_050.nii.gz
Especially on the disks levels I don't know how to segment, for instance here :
Taking or not taking the green part ?
Or here : I don't jnow if the yellow circles better than the green, or neither are really accurate ?
May be you would have ideas @SomeoneInParticular @sandrinebedard @maxradx ?
Those are not particular cases, the whole dataset is interesting for dcm cases and almost every image creates the type of doubts....
The text was updated successfully, but these errors were encountered: