Performance evaluation of Alzheimer’s disease detection in brain MRI images using the Alzheimer-net classifier

Topic: Amyloid, tau and blood-test diagnosis

The proposed approach achieves 97.9% AD Classification Index (ADCI) for the Kaggle dataset and 97.9% ADCI for the MIRIAD dataset. Also this approach achieves an 98.7% Non-AD Classification Index (NACI) for the Kaggle dataset and 97.1% NADCI for the MIRIAD dataset in the NAD detection. In this investigation, the outcomes have been evaluated and verified with regard to other comparable modelling techniques.

@article{prasath2025-5cdb8ca5,
  author  = {Prasath, T. Arun and Sumathi, V.},
  title   = {{Performance evaluation of Alzheimer’s disease detection in brain MRI images using the Alzheimer-net classifier}},
  journal = {Engineering Research Express},
  year    = {2025},
  doi     = {10.1088/2631-8695/ade8d5},
  url     = {https://doi.org/10.1088/2631-8695/ade8d5}
}

Key findings

• The proposed approach achieves 97.9% AD Classification Index (ADCI) for the Kaggle dataset and 97.9% ADCI for the MIRIAD dataset.
• Also this approach achieves an 98.7% Non-AD Classification Index (NACI) for the Kaggle dataset and 97.1% NADCI for the MIRIAD dataset in the NAD detection.
• In this investigation, the outcomes have been evaluated and verified with regard to other comparable modelling techniques.

Why it matters

This study describes a classifier called Alzheimer-net that achieved high accuracy in detecting Alzheimer's disease from brain MRI images on two datasets. These results are about diagnostic classification performance and do not address treating, curing, or preventing the disease.

New to this subject? Start with our plain-English guide: Brain scans & tests →

Study details

• Effect size97.9%; 98.7%; 97.1%
• Evidence strengthLow

Read the original

• DOI: 10.1088/2631-8695/ade8d5
• Original source →

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Studies this one cites

Referenced by this study and also in the alzhub library, so you can read them here.

• Early diagnosis of Alzheimer's disease using machine learning: a multi-diagnostic, generalizable approach Alzheimer's research & therapy · 2022-08-03 · usefulness score 57/100 · Digital health tools
• Cholinesterase Inhibitors May Not Benefit Mild Cognitive Impairment and Mild Alzheimer Disease Dementia Alzheimer disease and associated disorders · 2019-04-01 · usefulness score 53/100 · Long-term cohort studies

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• Integrating longitudinal information in hippocampal volume measurements for the early detection of Alzheimer's disease NeuroImage · 2015-10-26 · usefulness score 62/100 · Long-term cohort studies
• Clinical Utility of Amyloid Imaging in a Complex Case of Corticobasal Syndrome Presenting with Psychiatric Symptoms Journal of neurological disorders · 2014-11-01 · usefulness score 32/100 · Biomarkers
• Multisite study of the relationships between antemortem [ 11 C]PIB‐PET Centiloid values and postmortem measures of Alzheimer's disease neuropathology Alzheimer s & Dementia · 2018-10-19 · usefulness score 54/100 · Brain scans and imaging

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More on Brain scans and imaging

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