Use of Receiver Operating Curve Analysis and Machine Learning With an Independent Dose Calculation System Reduces the Number of Physical Dose Measurements Required for Patient-Specific Quality Assurance.

Abstract

Authors

• K Hasse
  Department of Radiation Oncology, University of California, San Francisco, California. Electronic address: Katelyn.hasse@ucsf.edu.
• J Scholey
  Department of Radiation Oncology, University of California, San Francisco, California.
• B P Ziemer
  Department of Radiation Oncology, University of California, San Francisco, California.
• Y Natsuaki
  Department of Radiation Oncology, University of California, San Francisco, California.
• O Morin
  Department of Radiation Oncology, University of California, San Francisco, California.
• T D Solberg
  Radiation Oncology Department, Perelman Center for Advanced Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19123.
• E Hirata
  Department of Radiation Oncology, University of California, San Francisco, California.
• G Valdes
  Radiation Oncology Department, Perelman Center for Advanced Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19123.
• A Witztum
  Department of Radiation Oncology, University of California, San Francisco, California.

Keywords

External Resources