Rubics-Xuan/TransBTS
Transformer-based neural network for multimodal brain tumor and volumetric medical image segmentation.
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This repository provides the official implementation of TransBTS and TransBTSV2, transformer-based models for volumetric medical image segmentation. It uses an encoder-decoder architecture with transformers to process 3D medical imaging data (MRI/CT scans) for tasks like brain tumor segmentation on BraTS datasets. The project includes data preprocessing pipelines, distributed training scripts, and evaluation tooling for Dice scores on medical imaging benchmarks.
Frequently asked
- What is Rubics-Xuan/TransBTS?
- Transformer-based neural network for multimodal brain tumor and volumetric medical image segmentation.
- Is TransBTS open source?
- Yes — Rubics-Xuan/TransBTS is open source, released under the Apache-2.0 license.
- What language is TransBTS written in?
- Rubics-Xuan/TransBTS is primarily written in Python.
- How popular is TransBTS?
- Rubics-Xuan/TransBTS has 449 stars on GitHub.
- Where can I find TransBTS?
- Rubics-Xuan/TransBTS is on GitHub at https://github.com/Rubics-Xuan/TransBTS.