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IEEE/ICACT20260266 Slide.11        [Big Slide]	Oral Presentation
	Our proposed framework, called CardioViT-CAM, consists of two main stages.First, we perform self-supervised pretraining using a Masked Autoencoder with a Vision Transformer to learn general cardiac features. Second, we perform supervised fine-tuning for classification of ASD, VSD, and AVSD. Additionally, we apply Grad-CAM++ to provide interpretable visualization of model predictions.

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