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

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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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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