UU-Mamba: Uncertainty-aware U-Mamba for Cardiac Image Segmentation
UU-Mamba: Uncertainty-aware U-Mamba for Cardiac Image Segmentation
Biomedical image segmentation is critical for accurate identification and analysis of anatomical structures in medical imaging, particularly in cardiac MRI. However, manual segmentation is labor-intensive, time-consuming, and prone to variability, necessitating automated methods. Current machine learning approaches, while promising, face challenges such as overfitting, high computational demands, and the need …