Explainable AI in medical imaging: an interpretable and collaborative federated learning model for brain tumor classification

Abstract

This study outlines an efficient and interpretable model for brain tumor classification by introducing an integrated technique using FL with GoogLeNet architecture. The proposed framework has great potential to improve brain tumor classification to make them more reliable and transparent for clinical use.