Accurate and Efficient Algorithm for Detection of Alzheimer Disability Based on Deep Learning
This study presents a reliable and affordable solution for early AD detection and diagnosis. The proposed system outperforms existing state-of-the-art models and offers a valuable tool for timely treatment planning. Future research should explore its application to larger, more diverse datasets and investigate integration with other imaging modalities, such as MRI, to further enhance diagnostic precision.
Authors
- S. Rozov (ORCID: https://orcid.org/0000-0002-7305-4857)
- Mohamed S. El Tokhy (ORCID: https://orcid.org/0000-0003-4899-5302)
- Fayez Alfayez (ORCID: https://orcid.org/0000-0002-8058-9980)
Institutions
- Majmaah University (SA)
- Egyptian Atomic Energy Authority (EG)
- Joint Institute for Nuclear Research (RU)
- Academy of Scientific Research and Technology (EG)
Publication Details
- Journal
- Cellular Physiology and Biochemistry
- Published
- 2024-12-19
- DOI
- https://doi.org/10.33594/000000746
- Citations
- 1
- Primary Topic
- Brain Tumor Detection and Classification
- Type
- article
- Field-Weighted Citation Impact
- 0.25
Funders
- King Salman Center for Disability Research