GitHub - edwinariesto/DenSEA: This research introduces DenSEA to tackle data imbalance in MRI brain tumor diagnosis. By combining DenseNet-121, SE-blocks, and SMOTE, it captures complex lesion details. Using a Double Ensemble strategy, DenSEA reached 0.9937 accuracy, proving to be a highly reliable and efficient automated diagnostic tool for clinical use.

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This research introduces DenSEA to tackle data imbalance in MRI brain tumor diagnosis. By combining DenseNet-121, SE-blocks, and SMOTE, it captures complex lesion details. Using a Double Ensemble strategy, DenSEA reached 0.9937 accuracy, proving to be a highly reliable and efficient automated diagnostic tool for clinical use.