MAKE MDPI

🔥 Highly Cited Paper from MAKE

📝 Alzheimer’s Disease Detection Using Deep Learning on Neuroimaging: A Systematic Review

👥 Authors: Mohammed G. Alsubaie, Suhuai Luo, and Kamran Shaukat

Alzheimer’s disease remains a major global health challenge, creating a strong need for accurate and reliable diagnostic approaches.

This systematic review examines recent research on Alzheimer’s disease detection using deep learning and neuroimaging data. The paper reviews single- and multi-modality approaches, biomarkers, preprocessing techniques, and deep learning architectures, including CNNs, RNNs, graph neural networks, and autoencoders.

The study highlights both the promise and limitations of deep learning for Alzheimer’s disease detection, emphasizing the need for robust datasets, discriminative feature representations, and standardized benchmark platforms.

🔗 Read more: https://www.mdpi.com/2504-4990/6/1/24