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Official implementation of "A Multimodal Feature Distillation with CNN-Transformer Network for Brain Tumor Segmentation with Incomplete Modalities".

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Official MCTSeg

This is the source code for the paper, "A Multimodal Feature Distillation with CNN-Transformer Network for Brain Tumor Segmentation with Incomplete Modalities", of which I am the first author.

Model

The Multimodal feature distillation with CNN-Transformer hybrid network for incomplete multimodal brain tumor Segmentation (MCTSeg) model configuration (i.e., network construction) file is net.py in the directory [.\model]. To train and test by running [train.py] and [test.py].

Recommended dependencies:

Python <= 3.8
Torch <= 1.7.1
CUDA <= 11.1

Evaluation

Datasets Brain Tumor Segmentation (BraTS) Challenge 2018/2020 (BraTS2018/BraTS2020).

Copyright Notice

Many utility codes of our project base on the codes of PyTorch-3DUNet, mmFormer, Vision Transformer PyTorch, and Factor-Transfer-pytorch repositories.

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Official implementation of "A Multimodal Feature Distillation with CNN-Transformer Network for Brain Tumor Segmentation with Incomplete Modalities".

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