Automatic detection of contouring errors using convolutional neural networks.

Abstract

Authors

• Dong Joo Rhee
• Carlos E Cardenas
  Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas. Electronic address: cecardenas@mdanderson.org.
• Hesham Elhalawani
  The Johns Hopkins Hospital, Department of Radiology, 601 N Caroline St, Room 4223, Baltimore, MD 21287 (S.K.); Cleveland Clinic, Department of Radiation Oncology, Cleveland, Ohio (H.E.); Emory University School of Medicine, Department of Radiology, Atlanta, Georgia (J.G.); University of Pennsylvania, Department of Radiology, Philadelphia, Pennsylvania (C.E.K.).
• Rachel McCarroll
  Department of Radiation Oncology, The University of Maryland Medical System, Baltimore, MD, 21201, USA.
• Lifei Zhang
  Department of Radiation Physics, Division of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
• Jinzhong Yang
  Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
• Adam S Garden
• Christine B Peterson
  Department of Biostatistics, Division of Basic Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
• Beth M Beadle
  Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, 94305, USA.
• Laurence E Court
  Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas.

Keywords

External Resources