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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Masayoshi Fujisawa

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Open access Sep 2026

Direct Measurement and AI-based Inference Reveal Histological Section Thickness as a Variable Physical Property Accessible from Routine H&E Images.

PURPOSE Variability in routine hematoxylin and eosin (H&E) images is an emerging concern in diagnostic and computational pathology. Although staining variability has been extensively studied, histological section thickness remains a largely unmeasured physical property that may influence image appearance. We investigat...

Masayoshi Fujisawa, Toshiaki Ohara, Yuto Shimada et al. · 0 citations

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