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Synthetic whole-slide image tile generation with gene expression profile-infused deep generative models
In this work, we propose an approach to generate whole-slide image (WSI) tiles by using deep generative models infused with matched gene expression profiles. First, we train a variational autoencoder (VAE) that learns a latent, lower-dimensional representation of multi-tissue gene expression profile...
Autores principales: | Carrillo-Perez, Francisco, Pizurica, Marija, Ozawa, Michael G., Vogel, Hannes, West, Robert B., Kong, Christina S., Herrera, Luis Javier, Shen, Jeanne, Gevaert, Olivier |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10475789/ https://www.ncbi.nlm.nih.gov/pubmed/37671024 http://dx.doi.org/10.1016/j.crmeth.2023.100534 |
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