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Article

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

Scientific reports - 15 Oct 2020

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

Abstract excerpt

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...

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Identifiers

PMID: 33060677
DOI: 10.1038/s41598-020-74500-3
PMCID: PMC7566625

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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