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Abstract Radiotherapy-induced salivary gland injury is a major contributor to xerostomia and impaired quality of life in patients with head and neck cancer, making accurate organ-at-risk delineation clinically important. Deep learning-based auto-segmentation has the potential to improve contouring efficiency and consistency, but reported performance is heterogeneous and its clinical significance is not always clear.
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
