Brain Tumor Detection with Explainable AI using VGG16 based CNN

Abstract

In clinical practice, brain tumor detection from magnetic resonance imaging (MRI) is a crucial task because manual interpretation is laborious and prone to inter-observer variability. Although deep convolutional neural networks (CNNs), especially VGG16-based architectures, have shown excellent diagnostic accuracy, clinical trust and adoption are hampered by their opaque nature.