Update README.md

README.md

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 ---
 license: cc-by-nc-4.0
+library_name: pytorch
+tags:
+  - medical-image-segmentation
+  - ct
+  - lower-extremity
+  - body-composition
+  - nnunet
+  - computer-vision
+pipeline_tag: image-segmentation
 ---
+
+# LegSegNet
+
+**GitHub:** [https://github.com/gogochen07/LegSegNet](https://github.com/gogochen07/LegSegNet)
+
+**LegSegNet** is a deep learning system for lower-extremity CT tissue segmentation and body composition quantification. Given an input CT scan, LegSegNet segments four tissue compartments: **bone**, **skeletal muscle**, **subcutaneous adipose tissue (SAT)**, and **inter- and intramuscular adipose tissue (IMAT)**.
+
+The system can further convert predicted masks into quantitative measurements, including tissue area, tissue volume, CT attenuation, and tissue-volume ratios.
+
+## Model Details
+
+- **Task:** Lower-extremity CT tissue segmentation
+- **Input:** Lower-extremity CT images
+- **Output:** Multi-class segmentation mask and body composition measurements
+- **Labels:** Background, SAT, skeletal muscle, IMAT, bone
+- **Backbone:** nnU-Net-based segmentation model
+
+## Usage
+
+Please refer to the GitHub repository for installation instructions, inference scripts, and example commands:
+
+[https://github.com/gogochen07/LegSegNet](https://github.com/gogochen07/LegSegNet)
+
+## Citation
+
+Please cite the following manuscript if you find the model useful:
+
+
+## License
+
+This project is released under the **Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)**.