Automatic Segmentation of Head and Neck Tumor: How Powerful Transformers Are?. (arXiv:2201.06251v2 [eess.IV] UPDATED)

Cancer is one of the leading causes of death worldwide, and head and neck
(H&N) cancer is amongst the most prevalent types. Positron emission tomography
and computed tomography are used to detect, segment and quantify the tumor
region. Clinically, tumor segmentation is extensively time-consuming and prone
to error. Machine learning, and deep learning in particular, can assist to
automate this process, yielding results as accurate as the results of a
clinician. In this paper, we investigate a vision transformer-based method …

arxiv head segmentation transformers