Normalized group activations based feature extraction technique using heterogeneous data for Alzheimer's disease classification.
- DOI
- 10.7717/peerj-cs.2502
- Published
- 2024
- Container
- PeerJ. Computer science
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.7717/peerj-cs.2502,
title = {Normalized group activations based feature extraction technique using heterogeneous data for Alzheimer's disease classification.},
author = {Vaithianathan K and Pernabas JB and Parthiban L and Rashid M and Alshamrani SS and Alzheimer’s Disease Neuroimaging Initiative},
year = {2024},
journal = {PeerJ. Computer science},
doi = {10.7717/peerj-cs.2502},
url = {https://doi.org/10.7717/peerj-cs.2502}
}RIS
TY - JOUR TI - Normalized group activations based feature extraction technique using heterogeneous data for Alzheimer's disease classification. AU - Vaithianathan K AU - Pernabas JB AU - Parthiban L AU - Rashid M AU - Alshamrani SS AU - Alzheimer’s Disease Neuroimaging Initiative PY - 2024 JO - PeerJ. Computer science DO - 10.7717/peerj-cs.2502 UR - https://doi.org/10.7717/peerj-cs.2502 ER -
APA
K, V., JB, P., L, P., M, R., SS, A., & Initiative, A. D. N. (2024). Normalized group activations based feature extraction technique using heterogeneous data for Alzheimer's disease classification.. PeerJ. Computer science. https://doi.org/10.7717/peerj-cs.2502
Source records
- pubmed · retrieved 2026-09-24T19:46:00.894Z