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Tri-Enhanced Distillation for Medical Segmentation by highflyhenry is a document available to read on EtoBox.

The document presents a tri-enhanced distillation framework aimed at improving domain continual medical image segmentation by addressing catastrophic forgetting. This framework enhances knowledge diversity, accuracy, and stability through three key strategies: Stochastic Knowledge Augmentation, Adaptive Knowledge Transfer, and Global Uncertainty-Guided Fusion. Experimental results demonstrate the framework

Author
highflyhenry
Language
EN