Releases: LIVIAETS/boundary-loss
Releases · LIVIAETS/boundary-loss
Journal extension and additional improvements
Big update in the repository, including:
- 3D computation of the distance maps, done at the pre-processing time;
- other losses implementated, for comparison;
- example of a stand-alone, multi-class setting (ACDC dataset);
- improved readme and instructions;
- updated for latest python and pytorch releases;
- removed remnants from our constrained-cnn works (previously a shared codebase);
- add colors to the makefile, for improved readability;
- more flexible makefiles, that allow separate results folders (through the
RD
environment variable); - submodule for the viewer, pointing to https://github.com/HKervadec/segmentation_viewer ;
- the training recipe now store commit-hash and diff, to track exactly the code used;
- (partial) list of papers using our loss in their method.