Detecting Alzheimer’s disease and brain tumors using machine learning and convolutional neural networks (CNNs)

Abstract

This white paper presents a systematic study and proposes a novel solution for detecting Alzheimer's disease and brain tumors using machine learning (ML) and Convolutional Neural Networks (CNNs). Given the increasing prevalence of these neurological disorders and the critical need for early and accurate diagnosis, the proposed approach leverages advanced CNN architectures with multi-modal data fusion to enhance diagnostic precision. The study systematically reviews recent literature and integrates state-of-the-art techniques to propose a comprehensive framework that can be implemented in clinical settings. Keywords: Elaborated Proposed Solution, Detecting Alzheimer's Disease and Brain Tumors Using Machine Learning and Convolutional Neural Networks (CNNs)