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Modality redundancy for MRI-based glioblastoma segmentation.

Selene De SutterJoris WutsWietse GeensAnne-Marie VanbinstJohnny DuerinckJef Vandemeulebroucke
Published in: International journal of computer assisted radiology and surgery (2024)
The T1CE-FLAIR-based model can therefore be considered as a minimal-input alternative to the full-input configuration. Addition of modalities beyond this does not statistically improve and can even deteriorate accuracy, but does lower the segmentation uncertainty.
Keyphrases
  • deep learning
  • convolutional neural network
  • magnetic resonance imaging
  • contrast enhanced
  • diffusion weighted imaging
  • machine learning
  • computed tomography
  • magnetic resonance
  • quantum dots