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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...
Guardat en:
| Publicat a: | Sci Rep |
|---|---|
| Autors principals: | , , , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Nature Publishing Group UK
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7566625/ https://ncbi.nlm.nih.gov/pubmed/33060677 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-74500-3 |
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