Automatic segmentation of Organs at Risk in Head and Neck cancer patients from CT and MRI scans

Sébastien Quetin, Andrew Heschl, Mauricio Murillo +5

Purpose: To present a high-performing, robust, and flexible deep learning pipeline for automatic segmentation of 30 organs-at-risk (OARs) in head and neck (H&N) cancer patients, us…