SHIFT: speedy histological-to-immunofluorescent translation of a tumor signature enabled by deep learning

Spatially-resolved molecular profiling by immunostaining tissue sections is a key feature in cancer diagnosis, subtyping, and treatment, where it complements routine histopathological evaluation by clarifying tumor phenotypes. In this work, we present a deep learning-based method called speedy histo...

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Detalles Bibliográficos
Autores principales: Burlingame, Erik A., McDonnell, Mary, Schau, Geoffrey F., Thibault, Guillaume, Lanciault, Christian, Morgan, Terry, Johnson, Brett E., Corless, Christopher, Gray, Joe W., Chang, Young Hwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7566625/
https://www.ncbi.nlm.nih.gov/pubmed/33060677
http://dx.doi.org/10.1038/s41598-020-74500-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7566625/
https://www.ncbi.nlm.nih.gov/pubmed/33060677
http://dx.doi.org/10.1038/s41598-020-74500-3

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