Brain tumor detection using CNN based on a Standard Deep Learning Model

Abstract: This research examines the development and application of an automated brain tumour detection system for robust imaging modalities such MRI and CT scan using convolutional neural networks for exploratory diagnosis. Medical images or anatomical imaging are derived from MRI and CT scans, which play a significant role in this method. The architecture involves a series of processes such as injecting features to medical images specifically, applying pre-processing to enhance discriminative power in the input data. Deep learning architectures entail the utilisation of several network architecture such as CNN and various other state-of-the-art models.