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Updated: Apr 19, 2026

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
Published on: November 30, 2022
Orbital imaging: a pattern-based approach
1Mount Sinai Hospital, Roosevelt Division, 1000 Tenth Ave, Suite 4B-14, New York, NY 10019, USA.
Abstract:
Providing a concise and relevant differential diagnosis for clinicians who order imaging studies can be difficult for the interpreting radiologist. In evaluation of cross-sectional imaging studies of the orbit, the myriad disease processes that occur in the orbit have overlapping features both clinically and at imaging. Disease entities can be categorized into a small set of relatively distinct patterns. In conjunction with careful consideration of the clinical history, a pattern-based approach to the interpretation of cross-sectional imaging studies of the orbit can help the radiologist provide a list of possible causes for the computed tomography and magnetic resonance imaging findings.
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