Convolutional neural networks enable robust automatic segmentation of the rat hippocampus in mri after traumatic brain injury

HIGHLIGHTS

• who: Riccardo De Feo from the AIVirtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland, SAIMLAL Department have published the research: Convolutional Neural Networks Enable Robust Automatic Segmentation of the Rat Hippocampus in MRI After Traumatic Brain Injury, in the Journal: (JOURNAL)
• what: The authors develop a robust algorithm, MU-Net-R, for the automatic segmentation of the normal and injured rat hippocampus based on an ensemble of U-net-like CNNs. The authors focused on hippocampus segmentation because (a) it is frequently damaged by experimental and human TBI and_(b) its damage . . .
  

   

  

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