A genetic programming Rician noise reduction and explainable deep learning model for Alzheimer's diseases severity prediction.

Journal: Journal of Alzheimer's disease : JAD

Published Date: Oct 14, 2024

Abstract

BACKGROUND: Degradation of magnetic resonance imaging (MRI) remains a challenging issue, with noise being a key damaging component introduced due to a variety of environmental and mechanical factors.

Authors

Sajid Ullah Khan

Universiti Malaysia Sarawak, Kota Samarahan, Sarawak, Malaysia.
Abdullah Albanyan

Software Engineering Department, College of Computer Engineering and Sciences, Prince Sattam bin Abdulaziz University, Alkharj, Saudi Arabia.
Mohsin Bilal

Tissue Image Analytics Centre, Department of Computer Science, University of Warwick, Coventry, UK.
Shahid Ullah

Faculty of Engineering, University Malaysia Sarawak, Kuching, Malaysia.

Keywords

Aged Alzheimer Disease Brain Deep Learning Female Humans Magnetic Resonance Imaging Male Neural Networks, Computer Severity of Illness Index

External Resources

View on PubMed Access via DOI PubMed (39497314)

A genetic programming Rician noise reduction and explainable deep learning model for Alzheimer's diseases severity prediction.

Abstract

Authors

Keywords

External Resources

Popular Topics

Recent Journals