Visualization of the samples of the multi-stain pediatric Crohn’s disease dataset, showcasing paired H&E for different stain types.

Visualization of the samples of the multi-stain pediatric Crohn’s disease dataset, showcasing paired H&E for different stain types.

<p>This Figure illustrates the perfect pairing of WSIs from identical tissue sections, which is central to the utility of the dataset in computational pathology research.</p> <p>(TIFF)</p>

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Bibliographic Details
Main Author:	Mehdi Ounissi (22470332) (author)
Other Authors:	Ilias Sarbout (22470335) (author), Jean-Pierre Hugot (75198) (author), Christine Martinez-Vinson (14798755) (author), Dominique Berrebi (35752) (author), Daniel Racoceanu (22470338) (author)
Published:	2025
Subjects:	Biochemistry Cell Biology Immunology Biological Sciences not elsewhere classified using loss functions trustworthy generative model raising environmental concerns proposed methodology involves often opaque processes necessary model components harnesses generative models system enables users specialized technical knowledge adopting new technologies stain applications without addressing common hardware virtual stain transformations challenges pathologists face also facilitates real providing pathologists free knowledge concept system also enhances virtually stain stain type stain set virtual multi new h work introduces unpaired settings tools due time self time consuming thereby enhancing synthetic stains stakes nature stains related software challenges singular hematoxylin routine use richer representation minimize artifacts latent space integrate label innovative approach improving performance immensely useful diagnostic process decisions complicates confidence heatmaps chemical costs build trust based proof associated physical
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