Keypoint-Augmented Self-Supervised Learning for Medical Image Segmentation with Limited Annotation

Neural Information Processing Systems 

Pretraining CNN models (i.e., UNet) through self-supervision has become a powerful approach to facilitate medical image segmentation under low annotation regimes.

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