GitHub

SAMA-UNet: Self-Adaptive Mamba-like Attention UNet

Official PyTorch implementation of SAMA-UNet: A novel U-shaped architecture for medical image segmentation that integrates Self-Adaptive Mamba-like Attention and Causal-Resonance Learning.
IEEE

Rethinking Data Augmentation for Single-Source Domain Generalization in OCT Image Segmentation

Abstract: Domain shifts between samples acquired with different instruments are one of the major challenges in accurate segmentation of Optical Coherence Tomography (OCT) images. Given that OCT images ...
GitHub

DiffAtlas: GenAI-fying Atlas Segmentation via Image-Mask Diffusion

Accurate medical image segmentation is crucial for precise anatomical delineation. Deep learning models like U-Net have shown great success but depend heavily on large datasets and struggle with ...
IEEE

Integrated Domain Augmentation and Structural Content Reconstruction Based Multisource Domain Generalization on Medical Image Segmentation

Abstract: Medical image segmentation methods based on deep learning usually suffer from potential domain shift. To address this problem, the domain generalization (DG) method has been studied. However ...