Generating High-Quality Lymph Node Clinical Target Volumes for Head and Neck Cancer Radiation Therapy Using a Fully Automated Deep Learning-Based Approach

To develop a deep learning model that generates consistent, high-quality lymph node clinical target volumes (CTV) contours for head and neck cancer (HNC) patients, as an integral part of a fully automated radiation treatment planning workflow.

Source: International Journal of Radiation Oncology * Biology * Physics - October 14, 2020 Category: Radiology Authors: Carlos E. Cardenas, Beth M. Beadle, Adam S. Garden, Heath D. Skinner, Jinzhong Yang, Dong Joo Rhee, Rachel E. McCarroll, Tucker J. Netherton, Skylar S. Gay, Lifei Zhang, Laurence E. Court Tags: Physics Contribution Source Type: research