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Abstract #2783

Do We Need CT for Producing a Fully-Automatic 3D Scapular Model? MRI meets Deep Learning for Scapular Bone Extraction

Francesco Caliva1, Victoria Wong1, Roland Krug1, Drew Lansdown1, and Valentina Pedoia1
1University of California, San Francisco, San Francisco, CA, United States

We present a fully-automatic, 2D deep learning based strategy for extracting scapular shape from a high-resolution MRI scan and we quantify network’s segmentation uncertainty. Our method has the potential to greatly improve the diagnostic process for patients with shoulder instability, rotator cuff tears, and osteoarthritis by decreasing the need for multiple imaging scans and ionizing radiation while still providing clinically-useful information to clinicians.

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