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SHIFT: speedy histological-to-immunofluorescent translation of whole slide images enabled by deep learning

By E. Burlingame and others at
LogoOregon Health and Science University
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 histological-to-immunofluorescent translation (SHIFT) which takes histologic images of hematoxylin and eosin-stained tissue... Show more
October 15, 2020
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SHIFT: speedy histological-to-immunofluorescent translation of whole slide images enabled by deep learning
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