A Novel Approach for Alzheimer’s Disease Detection using XAI and Grad-CAM
Author
Abstract

Alzheimer s disease (AD) is a disorder that has an impact on the functioning of the brain cells which begins gradually and worsens over time. The early detection of the disease is very crucial as it will increase the chances of benefiting from treatment. There is a possibility for delayed diagnosis of the disease. To overcome this delay, in this work an approach has been proposed using Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN) to use active Magnetic Resonance Imaging (MRI) scanned reports of Alzheimer s patients to classify the stages of AD along with Explainable Artificial Intelligence (XAI) known as Gradient Class Activation Map (Grad-CAM) to highlight the regions of the brain where the disease is detected.

Year of Publication
2023
Date Published
oct
Publisher
IEEE
Conference Location
Bangalore, India
ISBN Number
9798350305258
URL
https://ieeexplore.ieee.org/document/10353475/
DOI
10.1109/GCAT59970.2023.10353475
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