Uncertainty-Quantified Mamba Architecture for Medical Image Classification
Although deep learning models achieve strong performance in medical image analysis, their clinical adoption is often limited by the lack of reliable uncertainty information and high computational costs. In this work, we propose UQ-Mamba, a novel architecture that integrates uncertainty quantification within state space...