Towards Addressing Challenges in Efficient Alzheimer’s Disease Detection in Limited Resource Environments
Early detection of Alzheimer’s disease (AD) is crucial, particularly in resource-constrained medical settings. This study introduces an optimized deep learning framework that conceptualizes neural networks as computational ... | Find, read and cite all the research you need on Tech Science Press
Authors
- Fathimathul Rajeena P. P. (ORCID: https://orcid.org/0000-0002-5152-8409)
- Mona A. S. Ali (ORCID: https://orcid.org/0000-0002-2192-3504)
- Walaa Nagy Ismail (ORCID: https://orcid.org/0000-0002-1499-438X)
Publication Details
- Journal
- Computer Modeling in Engineering & Sciences
- Published
- 2025-01-01
- DOI
- https://doi.org/10.32604/cmes.2025.065564
- Primary Topic
- Brain Tumor Detection and Classification
- Type
- article
- Field-Weighted Citation Impact
- 0.00