HAL (France)
open access
Contrastive Learning for Whole Slide Image Representation: A Self-Supervised Approach in Digital Pathology
Image analysis in digital pathology is identified as a challenging field, particularly for AI-driven classification and search tasks. The high-resolution and large-scale nature of whole slide images (WSIs) present significant computational challenges in representing and analyzing these images effect
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