README.md

metadata

title: Spleen Segmentation Demo
emoji: 🖥️
colorFrom: blue
colorTo: gray
sdk: gradio
sdk_version: 5.49.0
app_file: app.py
pinned: false
short_description: 3D spleen segmentation with MONAI
models:
  - MONAI/example_spleen_segmentation

CT Spleen Segmentation Demo

This Space demonstrates 3D spleen segmentation from CT scans using the MONAI/example_spleen_segmentation model.

Model Information

• Architecture: UNet
• Input: 3D CT images (96×96×96)
• Output: Binary segmentation (spleen vs background)
• Performance: Mean Dice Score = 0.96
• Training: Trained on Medical Segmentation Decathlon Challenge 2018 dataset

How to Use

1. Upload a CT scan in NIfTI format (.nii or .nii.gz)
2. Click "Segment Spleen"
3. View the segmentation overlay (middle slice visualization)
4. Download the full 3D segmentation

Requirements

• MONAI
• PyTorch
• nibabel
• numpy
• huggingface_hub

Citation

If you use this model, please cite:

Xia, Yingda, et al. "3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training." 
arXiv preprint arXiv:1811.12506 (2018).

Disclaimer

This is an example demonstration, not to be used for diagnostic purposes.