Generalized Surface Loss

For latest implementation, please see here: https://github.com/mist-medical/MIST

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