We have introduced RDWS-EKSD framework, a dynamically weighted stacked ensemble with ROI-guided preprocessing for kidney stone CT image classification.
We have integrated Grad-CAM++ explainability to verify predictions against diagnostically relevant renal regions.
We have conducted a comprehensive comparative evaluation, demonstrating that the proposed framework achieves 99.71% test accuracy and outperforms all individual backbone models.
