https://github.com/willxxy/2d-u-vixlstm

2D variant of "Are Vision xLSTM Embedded UNet More Reliable in Medical 3D Image Segmentation?"
https://github.com/willxxy/2d-u-vixlstm

Last synced: 1 day ago
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2D variant of "Are Vision xLSTM Embedded UNet More Reliable in Medical 3D Image Segmentation?"

• Host: GitHub
• URL: https://github.com/willxxy/2d-u-vixlstm
• Owner: willxxy
• License: mit
• Created: 2024-07-18T21:36:35.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2024-07-19T16:10:02.000Z (5 months ago)
• Last Synced: 2024-07-20T06:13:41.825Z (5 months ago)
• Language: Python
• Size: 15.6 KB
• Stars: 0
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# 2D-U-VixLSTM

2D variant of ["Are Vision xLSTM Embedded UNet More Reliable in Medical 3D Image Segmentation?"](https://github.com/duttapallabi2907/U-VixLSTM)

This is just basic 2D variant of model no experiments are done. 

## Set up

1. Create conda environment with python=3.8

2. `pip install torch==1.13.1+cu117 torchvision==0.14.1+cu117 torchaudio==0.13.1 --extra-index-url https://download.pytorch.org/whl/cu117`

3. `pip install 'monai[all]'`

3. `pip install -r requirements.txt`

## Basic Usage

1. `main.py`