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Khalifa University of Science and Technology
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MRPT's innovative approach to multi-resolution attention enables it to outperform state-of-the-art models in cancer classification and tissue analysis, revealing new depths in diagnostic accuracy.
Lightweight models can achieve superior polyp segmentation performance by effectively harnessing foundation model induction with minimal computational overhead.
