Self-supervised learning and its applications in medical image analysis/
217 pages, Content notes : Introduction -- Literature Survey -- Context-based self-supervised learning for medical image analysis -- Self-supervised contrastive pre-training on medical images -- Self-supervised learning by optimizing mutual information -- Dynamic temperature hyper-parameter scaling in self-supervised contrastive learning -- Self-supervised learning for medical image segmentation using prototype aggregation -- Conclusion and future directions Medical Image Analysis Contrastive Learning Jigsaw Puzzle Solving One-Shot Segmentation
