Enes Makalic

Comparative Performance of Federated and Centralized Learning for Brain Tumor Classification and Segmentation

Purpose To compare federated learning (FL) and centralized learning (CL) performance for brain tumor classification and segmentation and examine whether specific configurations confer measurable performance advantages. Materials and Methods In this systematic review and meta-anal...