Comparison of H&E staining-based methodologies for virtual stain generation in computational histopathology during production phase.

<p>Panel <b>A</b> illustrates the proposed unified H&E encoder approach, adapting the ComboGAN [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1013516#pcbi.1013516.ref025" target="_blank">25</a>] approach to virtual st...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Mehdi Ounissi (22470332) (author)
مؤلفون آخرون:	Ilias Sarbout (22470335) (author), Jean-Pierre Hugot (75198) (author), Christine Martinez-Vinson (14798755) (author), Dominique Berrebi (35752) (author), Daniel Racoceanu (22470338) (author)
منشور في:	2025
الموضوعات:	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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Comparison of H&E staining-based methodologies for virtual stain generation in computational histopathology during production phase.

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