A genetic programming Rician noise reduction and explainable deep learning model for Alzheimer's diseases severity prediction
The empirical results show that our proposed model outperforms others, particularly in handling basic structures with limited spectral features, lower computational complexity, and less overfitting. This research worked addressed Rician noise issue in MRI images and predict AD severity prediction using explainable deep learning framework.
Authors
- Abdullah Albanyan (ORCID: https://orcid.org/0000-0002-2371-9400)
- Shahid Ullah (ORCID: https://orcid.org/0000-0002-4310-2571)
- Mohsin Bilal (ORCID: https://orcid.org/0000-0001-8632-2729)
- Sajid Ullah Khan (ORCID: https://orcid.org/0000-0002-9300-1488)
Institutions
- Prince Sattam Bin Abdulaziz University (SA)
- Universiti Malaysia Sarawak (MY)
Publication Details
- Journal
- Journal of Alzheimer s Disease
- Published
- 2024-10-14
- DOI
- https://doi.org/10.1177/13872877241283684
- Citations
- 3
- Primary Topic
- Machine Learning in Bioinformatics
- Type
- article
- Field-Weighted Citation Impact
- 0.70
Funders
- Prince Sattam bin Abdulaziz University