… In this article, we outline the current state-of-the-art for auto-segmentation for head and neck
cancer radiotherapy in order to predict how this will imminently and rapidly change with the …

… head and neck (H&N), which requires a precise spatial description of the target volumes
and organs at risk (OARs) to deliver a highly conformal radiation dose to the tumor cells while …

… background of each primary tumor. Therefore, the auto-segmentation task of these studies
may be considered less challenging than performing fully automatic segmentation of both the …

… ‐based or hybrid however, robust fully automated segmentation is often difficult due to the
… Our automated segmentation framework is able to segment anatomy in the head and neck …

… neck normal tissue auto-segmentation algorithms on MRI scans. With the advent of new and
advanced computer vision-based image segmentation … time to investigate tumor detection …

… Delineation of target structures (eg, tumor) and organs at risk … the Head and Neck Auto-Segmentation
Challenge 2015 held … -art automatic segmentation approaches for the head–neck …

… different OPC primary tumor auto-segmentation methodologies through the …
segmentation performance. This work presents the results of our OPC primary tumor auto-segmentation …

… [Citation28] found significant inter-observer variation in post-operative CTV segmentation
in patients with paranasal sinus tumors, especially in the anterior border of the nasal cavity, …

… Not only do the images differ largely in patient head pose and anatomical shape, the patients
also differ in tumor types and stages. For example, there are two nasopharyngeal tumor …

… used in the management of head and neck cancer (HNC). Advanced radiotherapy … ) facilitate
high conformal radiation doses to the tumor target while sparing of normal tissue to reduce …