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brain-tumor-segmentation-framework-with-deep-nuanced-reasoning-and-swin-t's Introduction

Brain-Tumor-Segmentation-Framework-with-Deep-Nuanced-Reasoning-and-Swin-T

相关仓库

模型 路径
U-net https://github.com/bubbliiiing/unet-pytorch
Unet 3+ https://github.com/ZJUGiveLab/UNet-Version
swin transformer https://github.com/SwinTransformer/Swin-Transformer-Semantic-Segmentation

所需环境

安装requirements.txt依赖

pip install -r requirements.txt

训练步骤

数据集准备

数据集下载

https://www.kaggle.com/datasets/awsaf49/brats20-dataset-training-validation

https://www.kaggle.com/datasets/dschettler8845/brats-2021-task1

数据集预处理

运行data_progress.py

训练数据集

运行train.py

CUDA_VISIBLE_DEVICES=0，1,2,3，4,5,6,7 python3 -m torch.distributed.launch --nproc_per_node 8 --master_port 20003 train.py

citing

@article{xu2024brain,
  title={Brain tumour segmentation framework with deep nuanced reasoning and Swin-T},
  author={Xu, Yang and Yu, Kun and Qi, Guanqiu and Gong, Yifei and Qu, Xiaolong and Yin, Li and Yang, Pan},
  journal={IET Image Processing},
  year={2024},
  publisher={Wiley Online Library}
}

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