Desarrollo de Herramienta Prediagnóstica para la clasificación de Alzheimer basado en imágenes de Resonancia Magnética (MRI) mediante técnicas de Inteligencia Artificial.

Abstract

The proposed project consists of the development of a software tool to support the neurologist specialist for the pre-diagnosis of Alzheimer's disease in 3 stages: patient with advanced Alzheimer's disease, patient with moderate Alzheimer's disease and healthy patient. This by making use of convolutional neural networks and a large database that extends to more than 6000 images divided between the 3 classes mentioned above obtained from a free and open repository. To the support software tool called "PshychoTool" a user interface is developed for the management and visualization of pre-diagnosis results, making it easy and fast to use and giving the best possible results. This project generates an impact in the area of radiology and neurology providing a reliable support to the early detection of Alzheimer's disease in patients at least 65 years old and with this, allowing the patient to access a treatment that helps to mitigate the effects of this progressive neurodegenerative disease.