Technical Note: Deep Learning approach for automatic detection and identification of patient positioning devices for radiation therapy.

Journal: Medical physics
Published Date: Oct 1, 2020

Abstract

PURPOSE: Automatic detection and identification of setup devices, using a deep convolutional neural network (CNN) for real-time multiclass object detection, has the potential to reduce errors in the treatment delivery process by avoiding documentation errors.

Authors

  • David H Thomas
    Department of Radiation Oncology, University of Colorado, Aurora, CO, USA.
  • Leah K Schubert
    Department of Radiation Oncology, University of Colorado, Aurora, CO, USA.
  • Yevgeniy Vinogradskiy
    Department of Radiation Oncology, Thomas Jefferson University, Philadelphia, Pennsylvania.
  • Sameer Nath
    Department of Radiation Oncology, University of Colorado, Aurora, CO, USA.
  • Brian Kavanagh
    Department of Radiation Oncology, University of Colorado, Aurora, CO, USA.
  • Moyed Miften
    Department of Radiation Oncology, University of Colorado School of Medicine, Aurora, Colorado.
  • Bernard Jones
    Department of Radiation Oncology, University of Colorado, Aurora, CO, USA.

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