Abstract Purpose Since Generative Adversarial Network (GAN) was introduced into the field
of deep learning in 2014, it has received extensive attention from academia and industry …

Auto-contouring could revolutionise future planning of radiotherapy treatment. The lack of
consensus on how to assess and validate auto-contouring systems currently limits clinical …

Although magnetic resonance imaging (MRI) has become standard diagnostic workup for
head and neck malignancies and is currently recommended by most radiological societies …

Adaptive radiotherapy (ART) is an advanced technology in modern cancer treatment that
incorporates progressive changes in patient anatomy into active plan/dose adaption during …

Purpose The delineation of organs at risk (OARs) is fundamental to cone‐beam CT (CBCT)‐
based adaptive radiotherapy treatment planning, but is time consuming, labor intensive, and …

Purpose Auto‐segmentation algorithms offer a potential solution to eliminate the labor‐
intensive, time‐consuming, and observer‐dependent manual delineation of organs‐at‐risk …

Modern conformal beam delivery techniques require image-guidance to ensure the
prescribed dose to be delivered as planned. Recent advances in artificial intelligence (AI) …

Objectives To develop an artificial intelligence (AI) system for automatic palate segmentation
through CBCT, and to determine the personalized available sites for palatal mini implants by …

Nowadays, computer-aided decision support systems (CADs) for the analysis of images
have been a perennial technique in the medical imaging field. In CADs, deep learning …

Magnetic resonance imaging (MRI) allows accurate and reliable organ delineation for many
disease sites in radiation therapy because MRI is able to offer superb soft-tissue contrast …