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 …

Purpose: Elective neck irradiation (ENI) has long been considered mandatory when treating
head and neck squamous cell carcinoma (HNSCC) with definitive radiotherapy, but it is …

Clinician generated segmentation of tumor and healthy tissue regions of interest (ROIs) on
medical images is crucial for radiotherapy. However, interobserver segmentation variability …

Background In recent years, there has been a surge in machine learning-based models for
diagnosis and prognostication of outcomes in oncology. However, there are concerns …

Background: Oropharyngeal cancer (OPC) is a widespread disease, with radiotherapy being
a core treatment modality. Manual segmentation of the primary gross tumor volume (GTVp) …

Background Radiotherapy is a core treatment modality for oropharyngeal cancer (OPC),
where the primary gross tumor volume (GTVp) is manually segmented with high …

The purpose of this study was to evaluate the performance of convolutional neural network
(CNN)-based image segmentation models for segmentation and classification of benign and …

Simple Summary This study presents two novel methods for automatically analyzing the
distribution of nodal metastases in head and neck (H/N) cancer cohorts. The proposed deep …

Simple Summary Adaptive proton therapy (APT) is an evolving approach to proton beam
scanning treatment planning. We performed dosimetric study on two groups of head and …

Background Quick magnetic resonance imaging (MRI) scans with low contrast-to-noise ratio
are typically acquired for daily MRI-guided radiotherapy setup. However, for patients with …