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Code for implementing and comparing the Generalized Surface Loss to other loss functions

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aecelaya/gen-surf-loss

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Generalized Surface Loss

Code for implementing and testing the Generalized Surface Loss (GSL).

Data

MICCAI Liver and Tumor Segmentation Challenge 2017 dataset (LiTS) - https://competitions.codalab.org/competitions/17094#learn_the_details-overview

MICCAI Brain Tumor Segmentation Challenge 2020 dataset (BraTS) - https://www.med.upenn.edu/cbica/brats2020/registration.html

Usage

This code is based on the Medical Imaging Segmentation Toolkit (MIST) framework. Please see its documentation for setup details.

To run our experiments, use the following commands:

python run_experiments_lits.py

and

python run_experiment_brats.py

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Code for implementing and comparing the Generalized Surface Loss to other loss functions

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