Background: Head and neck cancer (HNC) is characterized by complex-shaped tumors and
numerous organs at risk (OARs), inducing challenging radiotherapy (RT) planning …

Abstract Background Intensity Modulated Proton Therapy (IMPT) in head and neck cancer
(HNC) is susceptible to anatomical changes and patient set-up inaccuracies during the …

Featured Application Deep learning (DL) auto-contouring instead of atlas-based auto-
contouring and manual contouring should be used for anatomy segmentation in head and …

Abstract Background and Purpose To date, data used in the development of Deep Learning-
based automatic contouring (DLC) algorithms have been largely sourced from single …

Background To comprehensively investigate the behaviors of oncologists with different
working experiences and institute group styles in deep learning-based organs-at-risk (OAR) …

Segmentation of the masseter muscle (MM) on cone-beam computed tomography (CBCT) is
challenging due to the lack of sufficient soft-tissue contrast. Moreover, manual segmentation …

The physiological homeostasis of the masticatory complex in short-faced patients is too
robust to be disintegrated and reconstructed due to the powerful masseter muscle. This …

Automated segmentation of masticatory muscles is a challenging task considering
ambiguous soft tissue attachments and image artifacts of low-radiation cone-beam …

Introduction This study aimed to determine a measurement plane that could represent the
maximum cross-sectional area (MCSA) of masseter muscle using an artificial intelligence …

There is demonstrated potential in the use of novel imaging techniques, to help better
understand pathophysiology, and improve assessment and treatment of functional deficits …