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Journal extension and additional improvements

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@HKervadec HKervadec released this 02 Feb 02:09
· 11 commits to master since this release
fae1d52

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.