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FlyByCNN - pytorch3d implementation

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@juanprietob juanprietob released this 14 Sep 18:41
· 40 commits to master since this release

This is a new implementation of fly-by-cnn using the pytorch3D framework.
This implementation also provides the possibility to output the dental labels using the Universal Labeling System or the World Dental Federation notation (FDI).
The model used by this release was trained using the data from the teeth segmentation challenge from MICCAI.
More information about the challenge and implementation of the 3DSlicer extension here