Combining SMOTE with a voting classifier on transfer-learned features improved diabetic retinopathy recall by 5.4 points, while brain tumor accuracy stayed near 99.85%.
Feature fusion and Ensemble learning-based CNN model for mammographic image classification,
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Enhancing Transfer Learning for Medical Image Classification with SMOTE: A Comparative Study
Combining SMOTE with a voting classifier on transfer-learned features improved diabetic retinopathy recall by 5.4 points, while brain tumor accuracy stayed near 99.85%.