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

Guanghui Fu Rosana 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
climate change