Conference
Aug 2026
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...
Rajarapu Syamala, S. Kanaparthi, Satya Krishna Nunna
· International Workshop on Ar... · 0 citations