A comparative MRI-based study of ResNet-152 and novel deep learning approaches for early Alzheimer’s disease classification
- DOI
- 10.12928/telkomnika.v24i2.27576
- Published
- 2026-01-30
- Container
- TELKOMNIKA (Telecommunication Computing Electronics and Control)
- Publisher
- Universitas Ahmad Dahlan
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.12928/telkomnika.v24i2.27576,
title = {A comparative MRI-based study of ResNet-152 and novel deep learning approaches for early Alzheimer’s disease classification},
author = {Kelvin Leonardi Kohsasih and Octara Pribadi and Andy Andy and Daniel Smith Sunario},
year = {2026},
journal = {TELKOMNIKA (Telecommunication Computing Electronics and Control)},
doi = {10.12928/telkomnika.v24i2.27576},
url = {https://doi.org/10.12928/telkomnika.v24i2.27576}
}RIS
TY - JOUR TI - A comparative MRI-based study of ResNet-152 and novel deep learning approaches for early Alzheimer’s disease classification AU - Kelvin Leonardi Kohsasih AU - Octara Pribadi AU - Andy Andy AU - Daniel Smith Sunario PY - 2026 JO - TELKOMNIKA (Telecommunication Computing Electronics and Control) DO - 10.12928/telkomnika.v24i2.27576 UR - https://doi.org/10.12928/telkomnika.v24i2.27576 ER -
APA
Kohsasih, K. L., Pribadi, O., Andy, A., & Sunario, D. S. (2026). A comparative MRI-based study of ResNet-152 and novel deep learning approaches for early Alzheimer’s disease classification. TELKOMNIKA (Telecommunication Computing Electronics and Control). https://doi.org/10.12928/telkomnika.v24i2.27576
Source records
- crossref · retrieved 2026-09-25T18:39:44.674Z