kaylode / ivos

Mask Propagation and Active Learning in Medical CT Image Segmentation

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Possible Improvements

kaylode opened this issue · comments

  • Try different losses (default is STCN's OhemCE)
  • #25
  • Choose reference based on organs's sizes or adapt active learning. Experiment other different referencing strategies.
  • Experiment different propagation strategies (default is save mask every k frame into the memory, then use top m frames to predict)
  • Add fusion module from MiVOS
  • Add CPS (or other semi-sup models) for reference model
  • User-friendly GUI application
  • Uncertainty Estimation (for both training and inference)
  • Balance class sampling (help improve potentially)
  • Heuristic thresholding for each classes
  • Boundary-awareness