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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
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 |
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