3 papers
eess.IV2025
Mind the Context: Attention-Guided Weak-to-Strong Consistency for Enhanced Semi-Supervised Medical Image Segmentation
Yuxuan Cheng, Chenxi Shao, Jie Ma +2
Medical image segmentation is a pivotal step in diagnostic and therapeutic processes, relying on high-quality annotated data that is often challenging and costly to obtain. Semi-su…
cs.CV2024
A4-Unet: Deformable Multi-Scale Attention Network for Brain Tumor Segmentation
Ruoxin Wang, Tianyi Tang, Haiming Du +7
Brain tumor segmentation models have aided diagnosis in recent years. However, they face MRI complexity and variability challenges, including irregular shapes and unclear boundarie…
cs.CV2024
SimpleFusion: A Simple Fusion Framework for Infrared and Visible Images
Ming Chen, Yuxuan Cheng, Xinwei He +3
Integrating visible and infrared images into one high-quality image, also known as visible and infrared image fusion, is a challenging yet critical task for many downstream vision…