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  **GitHub:** [https://github.com/gogochen07/LegSegNet](https://github.com/gogochen07/LegSegNet)
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- **LegSegNet** is a deep learning system for lower-extremity CT tissue segmentation and body composition quantification.
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  Given an input CT scan, LegSegNet segments four tissue compartments: **bone**, **skeletal muscle**, **subcutaneous adipose tissue (SAT)**, and **inter- and intramuscular adipose tissue (IMAT)**.
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  **GitHub:** [https://github.com/gogochen07/LegSegNet](https://github.com/gogochen07/LegSegNet)
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+ **LegSegNet** is a deep learning system for lower extremity CT tissue segmentation and body composition quantification.
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  Given an input CT scan, LegSegNet segments four tissue compartments: **bone**, **skeletal muscle**, **subcutaneous adipose tissue (SAT)**, and **inter- and intramuscular adipose tissue (IMAT)**.
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