OBJECTIVE. The purpose of this article is to summarize the evidence for the value of
PET/CT for the management of patients with head and neck squamous cell cancer and …

For nearly 2 decades, adaptive radiation therapy (ART) has been proposed as a method to
account for changes in head and neck tumor and normal tissue to enhance therapeutic …

In radiation therapy, the accurate delineation of gross tumor volume (GTV) is crucial for
treatment planning. However, it is challenging for head and neck cancer (HNC) due to the …

Purpose. In this study, we proposed an automated deep learning (DL) method for head and
neck cancer (HNC) gross tumor volume (GTV) contouring on positron emission tomography …

Radiomic studies link quantitative imaging features to patient outcomes in an effort to
personalise treatment in oncology. To be clinically useful, a radiomic feature must be robust …

Purpose The availability of automated, accurate, and robust gross tumor volume (GTV)
segmentation algorithms is critical for the management of head and neck cancer (HNC) …

Target volume delineation is a vital but time-consuming and challenging part of
radiotherapy, where the goal is to deliver sufficient dose to the target while reducing risks of …

Objective Radiation oncology is a continually evolving speciality. With the development of
new imaging modalities and advanced imaging processing techniques, there is an …

Radiotherapy is the main treatment method for nasopharynx cancer. Delineation of Gross
Target Volume (GTV) from medical images is a prerequisite for radiotherapy. As manual …

Machine learning (ML) algorithms have found increasing utility in the medical imaging field
and numerous applications in the analysis of digital biomarkers within positron emission …