Satya Krishna Nunna

Uncertainty-Aware Brain Tumor Segmentation using UNet++ and Monte Carlo Dropout

Brain tumors must be precisely segmented using multi-modal magnetic resonance imaging (MRI) for clinical diagnosis, treatment planing, and out-of-the-box evaluations. Although deep learning–based segmentation models have achieved high accuracy, most existing approaches generate deterministic prediction without conveyin...