Manual segmentation of target structures and organs at risk is a crucial step in the
radiotherapy workflow. It has the disadvantages that it can require several hours of clinician …

Manual image segmentation is a time-consuming task routinely performed in radiotherapy to
identify each patient's targets and anatomical structures. The efficacy and safety of the …

Due to rapid advances in radiation therapy (RT), especially image guidance and treatment
adaptation, a fast and accurate segmentation of medical images is a very important part of …

Along with the improved treatment conformity achieved with the recently implemented
radiotherapy (RT) planning and delivery approaches [1], there is growing awareness of the …

Advances in artificial intelligence-based methods have led to the development and
publication of numerous systems for auto-segmentation in radiotherapy. These systems …

Segmentation of organs and structures, as either targets or organs‐at‐risk, has a significant
influence on the success of radiation therapy. Manual segmentation is a tedious and time …

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 …

Manual segmentation is the gold standard method for radiation therapy planning; however, it
is time-consuming and prone to inter-and intra-observer variation, giving rise to interests in …

Background Structure delineation is a necessary, yet time-consuming manual procedure in
radiotherapy. Recently, convolutional neural networks have been proposed to speed-up and …

Background Accurate and standardized descriptions of organs at risk (OARs) are essential
in radiation therapy for treatment planning and evaluation. Traditionally, physicians have …