medical image segmentation

A-ADAPT: Adaptive Intracranial Artery Segmentation with Morphology-Guided Prompts and Difficulty-Aware Learning MIDL 2026 A Comprehensive Benchmarking and Systematic Analysis of Deep Learning Models for Sonomammogram Segmentation MIDL 2026 AD-GBC: Anisotropic Granular-Ball Skip-Connection Refiner for UNet-Based Medical Image Segmentation CVPR 2026 AGENet: Adaptive Edge-aware Geodesic Distance Learning for Few-Shot Medical Image Segmentation WACV 2026 Ambiguity-aware Truncated Flow Matching for Ambiguous Medical Image Segmentation AAAI 2026 An Efficient Multi-Rater Setup Towards Personalized and Diversified Medical Image Segmentation WACV 2026 ART-ASyn: Anatomy-aware Realistic Texture-based Anomaly Synthesis Framework for Chest X-Rays WACV 2026 BackSplit: The Importance of Sub-dividing the Background in Biomedical Lesion Segmentation CVPR 2026 Beyond Classification: Elaborating Network Predictions for Better Weakly Supervised Quantization MIDL 2026 Beyond Euclidean Gossip: KL-Barycentric Consensus on Heterogeneous and Imbalanced Images CVPR 2026 Bidirectional Channel-selective Semantic Interaction for Semi-Supervised Medical Segmentation AAAI 2026 Breaking Task Boundaries: A Unified Model for 3D Medical Image Fusion and Segmentation Guided by Manifold Perspective AAAI 2026 CG-Reasoner: Centroid-Guided Positional Reasoning Segmentation for Medical Imaging with a Robust Visual-Text Consistency Metric CVPR 2026 Class Incremental Medical Image Segmentation via Prototype-Guided Calibration and Dual-Aligned Distillation AAAI 2026 CNM-UNet: Continuous Ordinary Differential Equations for Medical Image Segmentation AAAI 2026 Comparing SAM 2 and SAM 3 for Zero-Shot Segmentation of 3D Medical Data MIDL 2026 Conformable Convolution for Topologically Constrained Learning of Complex Anatomical Structures AAAI 2026 CROWn: A Unified Framework for Anti-Aliased Downsampling and Phase-Calibrated Fusion in 3D Medical Segmentation CVPR 2026 D$^2$-Former: Mixture-Of-Experts Guided Dual Transformer for Multi-Scale Medical Image Segmentation MIDL 2026 Decoding with Structured Awareness: Integrating Directional, Frequency-Spatial, and Structural Attention for Medical Image Segmentation AAAI 2026 Delving Aleatoric Uncertainty in Medical Image Segmentation via Vision Foundation Models CVPR 2026 Diffusion-Based Native Adversarial Synthesis for Enhanced Medical Segmentation Generalization CVPR 2026 Divide, Conquer and Unite: Hierarchical Style-Recalibrated Prototype Alignment for Federated Medical Segmentation AAAI 2026 DSFedMed: Dual-Scale Federated Medical Image Segmentation via Mutual Distillation Between Foundation and Lightweight Models AAAI 2026 DualFete: Revisiting Teacher-Student Interactions from a Feedback Perspective for Semi-supervised Medical Image Segmentation AAAI 2026