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Automating Vessel Segmentation in the Heart and Brain: A Trend to Develop Multi-Modality and Label-Efficient Deep Learning Techniques
Cardio-cerebrovascular diseases are the leading causes of mortality worldwide, whose accurate blood vessel segmentation is significant for both scientific research and clinical usage.
Semi-Supervised and Self-Supervised Collaborative Learning for Prostate 3D MR Image Segmentation
The proposed framework is very useful in clinical applications when training data with dense annotations are difficult to obtain.
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