This repository contains the final code submitted for the MICCAI2023 Brain Tumor Segmentation Challenge (BraTS2023) by the team CNMC_PMI. Our team achieved top rankings in the BraTS2023 challenge:
- 1st place in the PED task.
- 3rd place in the MEN task.
- 4th place in the MET task.
- Important: Use Python 3.9 only.
Create and activate a virtual environment:
python3.9 -m venv .mlcubes
source .mlcubes/bin/activateInstall and log into MedPerf:
sh install_medperf.shAll trained model weights are accessible to authorized individuals here: OneDrive-Weights
- For the PED task, visit the mlperf branch
- For the MEN task, visit the men-mlperf branch
- For the MET task, visit the met-mlperf branch
For more information about implementations and reusability, please contact
- Abhijeet Parida pabhijeet@childrensnational.org
- Daniel Capellán daniel.capellan@upm.es
- Zhifan Jiang, Ph.D. zjiang@childrensnational.org