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Projected pooling loss for red nucleus segmentation with soft topology constraints.

Guanghui FuRosana El JurdiLydia ChougarDidier DormontRomain ValabregueStéphane LehéricyOlivier Colliotnull null
Published in: Journal of medical imaging (Bellingham, Wash.) (2024)
We propose an effective method to automatically segment the red nucleus which is based on a new loss for introducing topology constraints in deep learning segmentation.
Keyphrases
  • deep learning
  • convolutional neural network
  • artificial intelligence
  • machine learning