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MR-Class: A Python Tool for Brain MR Image Classification Utilizing One-vs-All DCNNs to Deal with the Open-Set Recognition Problem.

Patrick SalomeFrancesco SforazziniGianluca GrugnaraAndreas KudakMatthias DostalChristel Herold-MendeSabine HeilandJürgen DebusAmir AbdollahiMaximilian Knoll
Published in: Cancers (2023)
We provide a DCNN-based method for the sequence classification of brain MR images and demonstrate its usability in two independent HGG datasets.
Keyphrases
  • deep learning
  • contrast enhanced
  • machine learning
  • resting state
  • white matter
  • magnetic resonance
  • convolutional neural network
  • functional connectivity
  • minimally invasive
  • cerebral ischemia
  • computed tomography