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High-Resolution Boundary Detection for Medical Image Segmentation with Piece-Wise Two-Sample T-Test Augmented Loss
Deep learning methods have contributed substantially to the rapid advancement of medical image segmentation, the quality of which relies on the suitable design of loss functions.
Greedy Graph Searching for Vascular Tracking in Angiographic Image Sequences
The vascular branch was described using a vascular centerline extraction method with multi-probability fusion-based topology optimization.
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