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Identification of focal epilepsy by diffusion tensor imaging using machine learning.

Dong Ah LeeHo-Joon LeeByung Joon KimBong Soo ParkSung Eun KimKang Min Park
Published in: Acta neurologica Scandinavica (2021)
DTI using a machine learning is useful for differentiating patients with focal epilepsy from healthy controls, but it cannot classify ASM responsiveness. Combining structural connectomic profiles results in a better classification performance than the use of conventional DTI measures alone for identifying focal epilepsy and ASM responsiveness.
Keyphrases
  • machine learning
  • white matter
  • deep learning
  • artificial intelligence
  • big data
  • magnetic resonance imaging
  • multiple sclerosis
  • magnetic resonance
  • computed tomography
  • contrast enhanced