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Automatic detection and segmentation of postoperative cerebellar damage based on normalization.

Silu ZhangSamuel S McAfeeZoltan PataySoniya PintoMatthew A Scoggins
Published in: Neuro-oncology advances (2023)
We develop an accurate, robust, and fully automatic localization and measurement of cerebellar damage in the atlas space using postoperative MRI.
Keyphrases
  • deep learning
  • patients undergoing
  • oxidative stress
  • machine learning
  • convolutional neural network
  • magnetic resonance imaging
  • contrast enhanced
  • single cell
  • high resolution
  • real time pcr