2 papers
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…
eess.IV2024
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…