Real-world applications of deep convolutional neural networks in diagnostic cancer imaging.

Abstract

Authors

• 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.).
• Pei Yang
  Department of Bone and Joint Surgery, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
• Mohamed Abazeed
  Department of Radiation Oncology, Cleveland Clinic, Cleveland, OH, USA; Department of Translational Hematology Oncology Research, Cleveland Clinic, Cleveland, OH, USA.
• Chirag Shah
  Department of Radiation Oncology, Cleveland Clinic, Cleveland, OH, USA.
• Abdallah S R Mohamed
  Anderson Cancer Center.
• Charles R Thomas
  Oregon Health and Science University, Portland, Oregon.
• Clifton D Fuller
  Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
• Reid F Thompson
  Oregon Health and Science University, Portland, Oregon; Veterans Affairs Portland Health Care System, Portland, Oregon. Electronic address: thompsre@ohsu.edu.

Keywords

External Resources