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If there were meshes of the cells then could use inside-outside of mesh as training for a classifier. Then have that classifier infer a probability volume, then colorize each voxel by its probability value.
More generally this could be used for any probability volume generating method (rather than say a binary).
It's U-Net acting as a pre-processor for input to a colormap.
The text was updated successfully, but these errors were encountered:
[Arguably this is a vis issue, not classify. I.e. change project?]
This is interesting: U-Net deep learning colourisation of greyscale images.
If there were meshes of the cells then could use inside-outside of mesh as training for a classifier. Then have that classifier infer a probability volume, then colorize each voxel by its probability value.
More generally this could be used for any probability volume generating method (rather than say a binary).
It's U-Net acting as a pre-processor for input to a colormap.
The text was updated successfully, but these errors were encountered: