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A self-supervised contrastive learning approach for whole slide image representation in digital pathology

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Image analysis in digital pathology has proven to be one of the most challenging fields in medical imaging for AI-driven classification and search tasks. Due to their gigapixel dimensions. whole slide images (WSIs) are difficult to represent for computational pathology. Self-supervised learning (SSL) has recently demonstrated excellent performance in learning effective representations... https://sanrioles.shop/product-category/stationery/
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