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IEEE/ICACT20240345 Slide.13        [Big Slide]	Oral Presentation
	Conclusion This research proposes an efficient method for detecting and classifying gastric cancer using Vision Transformers and weakly annotated histopathological images. Unlike CNN approaches, the ViT-based model leverages global features extracted from region-level annotations, minimizing information loss. The results show the model's potential to assist pathologists in decision-making.

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