Early Brain Tumour Detection in MRI Images Through Hybrid Deep Learning Model

Brain tumours are among the emerging significant health challenges that require early detection for complete management. Though the mainstay of diagnosis remains MRI, it can be applied in its interpretation with some challenges. This study investigates the potential of leveraging Convolutional Neural Networks, a form of artificial intelligence, to classify different brain tumours from MRI images with enhanced metrics. CNNs are said to provide the best currently available solution in achieving minimal preprocessing followed by feature engineering especially with respect to image analysis. Accuracy and efficiency in brain tumour diagnosis can be drastically improved by leveraging the power of AI.