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UCSF

“Investigating Musculoskeletal Disease Using Opportunistic Clinical CT Data: The Body Composition and Bone Platform (BCAB-CT).”

The aim of our study is to develop an open-source, python-based software package to analyze bone density, bone structure, muscle volume and density, and body composition from clinical CT images. To facilitate future analyses of extremely large clinical datasets, this software will store deidentified scans, segmentation masks and other analysis byproducts to train machine learning models for automated analysis of CT scan data.

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Principal Investigators: Dr. Galateia Kazakia, Dr. Thomas Lang

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