Automated detection and segmentation of sclerotic spinal lesions on body CTs using a deep convolutional neural network.

Journal: Skeletal radiology
Published Date:

Abstract

PURPOSE: To develop a deep convolutional neural network capable of detecting spinal sclerotic metastases on body CTs.

Authors

  • Connie Y Chang
    Division of Musculoskeletal Imaging and Intervention, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, YAW 6, Boston, MA, 02114, USA. cychang@mgh.harvard.edu.
  • Colleen Buckless
    Division of Musculoskeletal Imaging and Intervention, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, YAW 6, Boston, MA, 02114, USA.
  • Kaitlyn J Yeh
    Division of Musculoskeletal Imaging and Intervention, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, YAW 6, Boston, MA, 02114, USA.
  • Martin Torriani
    Division of Musculoskeletal Imaging and Intervention, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, YAW 6048, Boston, MA, 02114, USA. mtorriani@mgh.harvard.edu.