Hybrid Deep Learning Architecture with Adaptive Feature Fusion for Multi-Stage Alzheimer’s Disease Classification
This framework enables precise early Alzheimer's disease (AD) diagnosis by integrating multi-scale neuroimaging features, empowering clinicians to optimize patient care through timely and targeted interventions.
Authors
- Yonis Gulzar (ORCID: https://orcid.org/0000-0002-6515-1569)
- Osman Elwasila
- Jin Qi (ORCID: https://orcid.org/0000-0001-8427-0080)
- Ahmad Muhammad (ORCID: https://orcid.org/0009-0003-6491-3802)
Institutions
- University of Electronic Science and Technology of China (CN)
- University of Business and Technology (SA)
- King Faisal University (SA)
Publication Details
- Journal
- Brain Sciences
- Published
- 2025-06-06
- DOI
- https://doi.org/10.3390/brainsci15060612
- Citations
- 8
- Primary Topic
- Brain Tumor Detection and Classification
- Type
- article
- Field-Weighted Citation Impact
- 6.74
Funders
- King Faisal University