IEEE

EICSeg: Universal Medical Image Segmentation via Explicit In-Context Learning

Abstract: Deep learning models for medical image segmentation often struggle with task-specific characteristics, limiting their generalization to unseen tasks with new anatomies, labels, or modalities ...
GitHub

Token Painter: Training-Free Text-Guided Image Inpainting via Mask Autoregressive Models (AAAI 2026)

Token Painter is a training-free text-guided image inpainting model built upon the Mask AutoRegressive (MAR) paradigm. Unlike diffusion-based methods that model the entire image in latent space and ...
IEEE

Semi-Supervised Medical Hyperspectral Image Segmentation Using Adversarial Consistency Constraint Learning and Cross Indication Network

Abstract: Hyperspectral imaging technology is considered a new paradigm for high-precision pathological image segmentation due to its ability to obtain spatial and spectral information of the detected ...