AI-enabled in silico immunohistochemical characterization for Alzheimer's disease

We develop a deep learning approach, in silico immunohistochemistry (IHC), which takes routinely collected histochemical-stained samples as input and computationally generates virtual IHC slide images. We apply in silico IHC to Alzheimer's disease samples, where several hallmark changes are con...

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Detalles Bibliográficos
Autores principales: He, Bryan, Bukhari, Syed, Fox, Edward, Abid, Abubakar, Shen, Jeanne, Kawas, Claudia, Corrada, Maria, Montine, Thomas, Zou, James
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9046239/
https://www.ncbi.nlm.nih.gov/pubmed/35497493
http://dx.doi.org/10.1016/j.crmeth.2022.100191

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9046239/
https://www.ncbi.nlm.nih.gov/pubmed/35497493
http://dx.doi.org/10.1016/j.crmeth.2022.100191

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