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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