prior-based-losses-for-medical-image-segmentation

Last update: Sep 07, 2022

Overview

Repository for papers:

Benchmark: Effect of Prior-based Losses on Segmentation Performance: A Benchmark

Midl: A Surprisingly Effective Perimeter-based Loss for Medical Image Segmentation (https://openreview.net/forum?id=NDEmtyb4cXu)

In the .py script losses you can find all the losses used in the benchmark as well as the Contour-based loss.

You can just plugin the name of the loss in the losses argument in the main script and run the program.

TO DO \

Code should be cleaned and divided into project compartements . \
Functions should be documented
Documentation should be provided !!!

Owner

Rosana EL JURDI

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