Name		Name	Last commit message	Last commit date
Latest commit History 28 Commits
dataset		dataset
loss		loss
model		model
LICENSE		LICENSE
README.md		README.md
inference_util.py		inference_util.py
pre.sh		pre.sh
pretrain.py		pretrain.py
run.sh		run.sh
setup_items.sh		setup_items.sh
supplementary.pdf		supplementary.pdf
test.sh		test.sh
test_18_smu.py		test_18_smu.py
train_18.py		train_18.py
utils.py		utils.py

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M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities

The code is preparing in few days.

Dataset: Brats 2018 and Brats 2020 or from RFnet for dataset and split files.

Training process:

change the path in ./dataset/brats.py to your dataset path.
run pretrain.py via pre.sh.
change the pretrained chackpoint path in train_18.py and run it via run.py

If you have any questions, please do not hesitate to contact liuhong@stu.xmu.edu.cn

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