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Low Rank and Sparse Matrix Decomposition as Stroke Segmentation Prior: Useful or Not? A Random Forest-Based Evaluation Study.

René WernerDaniel ScheteligThilo SothmannEike MückeMatthias WilmsBastian ChengNils Daniel Forkert
Published in: Bildverarbeitung für die Medizin (2017)
Keyphrases
  • random forest
  • decision trees
  • feature set
  • image processing
  • machine learning
  • image segmentation
  • classification accuracy