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

Abstract

Authors

• Carlos E Cardenas
  Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas. Electronic address: cecardenas@mdanderson.org.
• Beth M Beadle
  Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, 94305, USA.
• Adam S Garden
• Heath D Skinner
  Department of Radiation Oncology, University of Pittsburgh, Pittsburgh, Pennsylvania.
• Jinzhong Yang
  Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
• Dong Joo Rhee
• Rachel E McCarroll
  Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
• Tucker J Netherton
  Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
• Skylar S Gay
  Department of Radiation Physics, University of Texas MD Anderson Cancer Center, Houston, Texas.
• Lifei Zhang
  Department of Radiation Physics, Division of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
• Laurence E Court
  Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas.

Keywords

External Resources