Evolving Error States: Failure-Aware Progressive Repair for Ultrasound Lesion Segmentation

arXiv:2609.18256 · cs.CV · Submitted 2026-09-16 · Read on arXiv

cs.CV

Submitted: 2026-09-16

Updated: 2026-09-16

Terminology

• Benchmark — 7× in this paper · explained in 2 episodes
• Accuracy — 6× in this paper · explained in 1 episode
• Transformer — 6× in this paper · explained in 2 episodes
• Failure-Aware Progressive Repair — 5× in this paper
• Ablation — 2× in this paper · explained in 1 episode
• Foundation Model — 2× in this paper · explained in 3 episodes
• Guided attention — 2× in this paper · explained in 2 episodes
• Model-Agnostic — 2× in this paper · explained in 2 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Causal Reasoning — 1× in this paper · explained in 2 episodes
• Diffusion Process — 1× in this paper · explained in 2 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Mixture of Experts — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Semi-supervised Learning — 1× in this paper · explained in 4 episodes
• Sparsity — 1× in this paper · explained in 4 episodes
• U-net architecture — 1× in this paper · explained in 3 episodes

Sources

• TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation
• Layer-wise Noise Guided Selective Wavelet Reconstruction for Robust Medical Image Segmentation
• Attention U-Net: Learning Where to Look for the Pancreas
• SegRefiner: Towards Model-Agnostic Segmentation Refinement with Discrete Diffusion Process
• CARE: Anti-entanglement Ultrasound Image Segmentation via Channel-Aware Region Extrication

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