Feature Reconfiguration With Visual Prior for Medical Lesion Segmentation

arXiv:2609.03535 · cs.AI, eess.IV · Submitted 2026-09-03 · Read on arXiv

cs.AI, eess.IV

Submitted: 2026-09-03

Updated: 2026-09-05

Comments: 9 pages 10figures

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Decoupling — 19× in this paper · explained in 2 episodes
• Ablation — 10× in this paper · explained in 1 episode
• Frequency Decoupling Module — 6× in this paper
• Implicit Prior Neural Network — 6× in this paper
• Dual-domain Feature Reconfiguration — 5× in this paper
• Generalization — 5× in this paper · explained in 13 episodes
• Transformer — 5× in this paper · explained in 2 episodes
• Ablation Studies — 4× in this paper · explained in 1 episode
• Benchmark — 4× in this paper · explained in 2 episodes
• Feature Extraction — 4× in this paper · explained in 2 episodes
• Spatial Localization Module — 4× in this paper
• Accuracy — 3× in this paper · explained in 1 episode
• Distillation — 3× in this paper · explained in 2 episodes
• Loss Function — 3× in this paper · explained in 2 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Adaptation — 2× in this paper · explained in 1 episode
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Knowledge Distillation — 2× in this paper · explained in 11 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Segment Anything Model — 2× in this paper
• Active Learning — 1× in this paper · explained in 6 episodes
• Attention Mechanism — 1× in this paper · explained in 3 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Guided attention — 1× in this paper · explained in 2 episodes
• Hybrid Architectures — 1× in this paper · explained in 3 episodes
• Structural Constraints — 1× in this paper · explained in 2 episodes
• Structural Integrity — 1× in this paper · explained in 3 episodes
• U-net architecture — 1× in this paper · explained in 3 episodes

Sources

• SAM Fails to Segment Anything? -- SAM-Adapter: Adapting SAM in Underperformed Scenes: Camouflage, Shadow, Medical Image Segmentation, and More
• Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)
• PGDiffSeg: Prior-Guided Denoising Diffusion Model with Parameter-Shared Attention for Breast Cancer Segmentation
• MedSAM2: Segment Anything in 3D Medical Images and Videos
• Customized Segment Anything Model for Medical Image Segmentation
• PG-SAM: Prior-Guided SAM with Medical for Multi-organ Segmentation

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