Alzheimer’s Disease Detection Based on Machine Learning and Deep Learning Frameworks: A Cross-Dataset Comparative Performance Analysis and Assessment of Clinical Readiness
- DOI
- 10.3390/make8070217
- Published
- 2026-07-22
- Container
- Machine Learning and Knowledge Extraction
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/make8070217,
title = {Alzheimer’s Disease Detection Based on Machine Learning and Deep Learning Frameworks: A Cross-Dataset Comparative Performance Analysis and Assessment of Clinical Readiness},
author = {Keenan Ramnarain and Rito Clifford Maswanganyi and Philani Khumalo},
year = {2026},
journal = {Machine Learning and Knowledge Extraction},
doi = {10.3390/make8070217},
url = {https://doi.org/10.3390/make8070217}
}RIS
TY - JOUR TI - Alzheimer’s Disease Detection Based on Machine Learning and Deep Learning Frameworks: A Cross-Dataset Comparative Performance Analysis and Assessment of Clinical Readiness AU - Keenan Ramnarain AU - Rito Clifford Maswanganyi AU - Philani Khumalo PY - 2026 JO - Machine Learning and Knowledge Extraction DO - 10.3390/make8070217 UR - https://doi.org/10.3390/make8070217 ER -
APA
Ramnarain, K., Maswanganyi, R. C., & Khumalo, P. (2026). Alzheimer’s Disease Detection Based on Machine Learning and Deep Learning Frameworks: A Cross-Dataset Comparative Performance Analysis and Assessment of Clinical Readiness. Machine Learning and Knowledge Extraction. https://doi.org/10.3390/make8070217
Source records
- crossref · retrieved 2026-09-25T00:27:31.571Z