Radiotherapy (RT) is one of the basic treatment modalities for cancer of the head and neck
(H&N), which requires a precise spatial description of the target volumes and organs at risk …

Developers and users of artificial-intelligence-based tools for automatic contouring and
treatment planning in radiotherapy are expected to assess clinical acceptability of these …

Purpose For the cancer in the head and neck (HaN), radiotherapy (RT) represents an
important treatment modality. Segmentation of organs‐at‐risk (OARs) is the starting point of …

Background Radiation treatment is considered an effective and the most common treatment
option for prostate cancer. The treatment planning process requires accurate and precise …

Featured Application Computational models based on artificial intelligence (AI) variants
have been developed and applied successfully in many areas, both inside and outside of …

Background Impaired function of masticatory muscles will lead to trismus. Routine
delineation of these muscles during planning may improve dose tracking and facilitate dose …

Artificial intelligence (AI) has exceptional potential to positively impact the field of radiation
oncology. However, large curated datasets-often involving imaging data and corresponding …

Purpose/objective (s) Auto-segmentation with artificial intelligence (AI) offers an opportunity
to reduce inter-and intra-observer variability in contouring, to improve the quality of contours …

Purpose To investigate multiple deep learning methods for automated segmentation (auto‐
segmentation) of the parotid glands, submandibular glands, and level II and level III lymph …

Accurate segmentation of multiple organs of the head, neck, chest, and abdomen from
medical images is an essential step in computer-aided diagnosis, surgical navigation, and …