An ensemble of two low-parameter CNNs reaches 99.92% accuracy on a Kaggle Alzheimer's MRI dataset, but SMOTE is applied before splitting the data, which can leak synthetic samples into the test set.
In: geriatrictoolkit.missouri.edu
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Early Diagnosis of Alzheimer's Diseases and Dementia from MRI Images Using an Ensemble Deep Learning
An ensemble of two low-parameter CNNs reaches 99.92% accuracy on a Kaggle Alzheimer's MRI dataset, but SMOTE is applied before splitting the data, which can leak synthetic samples into the test set.