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A Performance-Guided Framework for retinal vessel segmentation
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AI
DOI：10.1016/j.knosys.2026.116958.png)
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Abstract
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• A performance-guided framework for retinal vessel segmentation.
• An adaptive masking-based data reconstruction for redirect learning.
• A dual-objective optimization scheme combining segmentation supervision and selective knowledge distillation.
• Broad compatibility with multiple backbone architectures.
Keywords:
Retinal vessel segmentation
Performance-guided learning
Data reconstruction
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7.6
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1.3W
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