International journal of radiation oncology, biology, physics
Mar 2, 2019
PURPOSE: Organ-at-risk (OAR) delineation is a key step in treatment planning but can be time consuming, resource intensive, subject to variability, and dependent on anatomical knowledge. We studied deep learning (DL) for automated delineation of mult...
OBJECTIVES/HYPOTHESIS: The objectives of this study were to describe robot-assisted sialolithotomy with sialendoscopy (RASS) for the management of large palpable hilar submandibular gland (SMG) stones and analyze procedural success and lingual nerve ...
OBJECTIVES: This study aimed to investigate the value of a deep learning (DL) model based on greyscale ultrasound (US) images for precise assessment and accurate diagnosis of primary Sjögren's syndrome (pSS).
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