ML-Based Brain Disorder Classification through Image Processing

This book addresses medical image processing for brain disorder classification. It explores advanced techniques, including Discrete Wavelet Transform, SVM, and a hybridized strategy (MABC-ELM). Emphasizing the limitations of traditional methods, the study proposes an improved Deep Belief Network model. These computational models aim to enhance accuracy in brain image classification, crucial for accurate medical diagnoses.