Scale-aware Adaptive Supervised Network with Limited Medical Annotations

📝 Original Info

• Title: Scale-aware Adaptive Supervised Network with Limited Medical Annotations
• ArXiv ID: 2601.01005
• Date: 2026-01-02
• Authors: Zihan Li, Dandan Shan, Yunxiang Li, Paul E. Kinahan, Qingqi Hong

📝 Abstract

We propose SASNet, a dual-branch semi-supervised segmentation network that adaptively fuses multi-scale features to improve performance under limited annotation. • A scale-aware adaptive reweight strategy is introduced to generate more reliable ensemble predictions by selectively fusing pixel-wise results. • A view variance enhancement mechanism simulates annotation differences across views and scales, improving robustness and segmentation accuracy.

📄 Full Content

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