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ROOD-MRI: Benchmarking the robustness of deep learning segmentation models to out-of-distribution and corrupted data in MRI.

Lyndon BooneMahdi BiparvaParisa Mojiri ForooshaniJoel RamirezMario MasellisRobert BarthaSean SymonsStephen C. StrotherSandra E. BlackChris HeynAnne L. MartelRichard H. SwartzMaged Goubran
Published in: CoRR (2022)
Keyphrases
  • data sets
  • medical images
  • magnetic resonance imaging
  • deep learning
  • training data
  • brain scans
  • magnetic resonance images
  • learning algorithm
  • feature extraction
  • object detection
  • text mining
  • segmentation algorithm