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IEEE/ICACT20260266 Slide.19        [Big Slide]	Oral Presentation
	The comparative analysis of CHD classification models. In contrast to previous studies that focus on a single class or a limited number of defect types, the proposed MAE + ViT + Grad-CAM++ framework achieves superior accuracy across multiple CHD categories (i.e., ASD, VSD, and AVSD). Leveraging large-scale pretraining and domain-specific fine-tuning enhances feature representation and diagnostic precision. The accuracy achieved of 97.03% marks a significant improvement over existing CNN-based methodology.

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