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IEEE/ICACT20260266 Slide.20        [Big Slide]	Oral Presentation
	In conclusion, we proposed CardioViT-CAM, an interpretable deep learning framework for automated CHD classification. The model integrates: MAE self-supervised pretraining Vision Transformer fine-tuning Grad-CAM++ explainability The system achieved 97.03% classification accuracy and shows strong potential for clinical decision support.

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