Image Segmentation of Operative Neuroanatomy Into Tissue Categories Using a Machine Learning Construct and Its Role in Neurosurgical Training.

Journal: Operative neurosurgery (Hagerstown, Md.)
Published Date:

Abstract

BACKGROUND: The complexity of the relationships among the structures within the brain makes efficient mastery of neuroanatomy difficult for medical students and neurosurgical residents. Therefore, there is a need to provide real-time segmentation of neuroanatomic images taken from various perspectives to assist with training.

Authors

  • Andrew J Witten
    Indiana University School of Medicine, Indianapolis, Indiana, USA.
  • Neal Patel
    Indiana University School of Medicine, Indianapolis, Indiana, USA.
  • Aaron Cohen-Gadol
    Department of Neurological Surgery, Indiana University, Indianapolis, Indiana, USA.