medical image segmentation

MedPEFT-CL: Dual-Phase Parameter-Efficient Continual Learning with Medical Semantic Adapter and Bidirectional Memory Consolidation WACV 2026 MedSAMix: A Training-Free Model Merging Approach for Medical Image Segmentation AAAI 2026 Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning MIDL 2026 OFL-SAM2: Prompt SAM2 with Online Few-shot Learner for Efficient Medical Image Segmentation AAAI 2026 PMRNet: Physics-informed Multi-scale Refinement Network for Medical Image Segmentation CVPR 2026 R2-Seg: Training-Free OOD Medical Tumor Segmentation via Anatomical Reasoning and Statistical Rejection CVPR 2026 Rethinking Box Supervision: Bias-Free Weakly Supervised Medical Segmentation CVPR 2026 SD-FSMIS: Adapting Stable Diffusion for Few-Shot Medical Image Segmentation CVPR 2026 SEG4SEG: Identifying Systematic Failure Modes in Segmentation by Subgroup Discovery Methods MIDL 2026 SegMoTE: Token-Level Mixture of Experts for Medical Image Segmentation CVPR 2026 SemiGDA: Generative Dual-distribution Alignment for Semi-Supervised Medical Image Segmentation CVPR 2026 SGDC: Structurally-Guided Dynamic Convolution for Medical Image Segmentation MIDL 2026 SHAPE: Structure-aware Hierarchical Unsupervised Domain Adaptation with Plausibility Evaluation for Medical Image Segmentation CVPR 2026 Sim4Seg: Boosting Multimodal Multi-disease Medical Diagnosis Segmentation with Region-Aware Vision-Language Similarity Masks AAAI 2026 Simple-ViLMedSAM: Simple Text Prompts Meet Vision-Language Models for Medical Image Segmentation CVPR 2026 SPEGC: Continual Test-Time Adaptation via Semantic-Prompt-Enhanced Graph Clustering for Medical Image Segmentation CVPR 2026 Style Content Decomposition-based Data Augmentation for Domain Generalizable Medical Image Segmentation MIDL 2026 TANGO: Learning Distribution-wise Foundation Prior Consistency and Instance-wise Style Calibration for Medical Image Generalization CVPR 2026 Task-Conditioned 3D U-Nets via Hypernetworks for Data-Scarce Medical Segmentation MIDL 2026 Tell2Adapt: A Unified Framework for Source Free Unsupervised Domain Adaptation via Vision Foundation Model CVPR 2026 Testing the Trust: Verification and Validation of Bayesian Segmentation under Uncertainty MIDL 2026 Towards Modality-Agnostic Continual Domain-Incremental Brain Lesion Segmentation MIDL 2026 TUNE++: Topology-Guided Uncertainty Estimation for Reliable 3D Medical Image Segmentation MIDL 2026 Uncertainty-Aware Vision-Language Segmentation for Medical Imaging WACV 2026 VasoMIM: Vascular Anatomy-Aware Masked Image Modeling for Vessel Segmentation AAAI 2026