Purpose While artificial intelligence has shown great promise in organs-at-risk (OARs) auto
segmentation for head and neck cancer (HNC) radiotherapy, to reach the level of clinical …

Treatment planning plays an important role in the process of radiotherapy (RT). The quality
of the treatment plan directly and significantly affects patient treatment outcomes. In the past …

Purpose The purpose of this educational report is to provide an overview of the present state‐
of‐the‐art PET auto‐segmentation (PET‐AS) algorithms and their respective validation, with …

Treatment planning is an essential step of the radiotherapy workflow. It has become more
sophisticated over the past couple of decades with the help of computer science, enabling …

Deep learning-based image segmentation is by now firmly established as a robust tool in
image segmentation. It has been widely used to separate homogeneous areas as the first …

Aim The segmentation of organs from a CT scan is a time-consuming task, which is one
hindrance for adaptive radiation therapy. Through deep learning, it is possible to …

Radiation oncology for prostate cancer is important as it can decrease the morbidity and
mortality associated with this disease. Planning for this modality of treatment is both …

Purpose Delineation of the clinical target volume (CTV) and organs at risk (OAR s) is very
important for radiotherapy but is time‐consuming and prone to inter‐observer variation …

Purpose The use of magnetic resonance imaging (MRI) in radiotherapy treatment planning
has rapidly increased due to its ability to evaluate patient's anatomy without the use of …

Medical image segmentation is an important tool for current clinical applications. It is the
backbone of numerous clinical diagnosis methods, oncological treatments and computer …