SHEST
Single-cell-level artificial intelligence from haematoxylin and eosin morphology for cell type prediction and spatial transcriptomics reconstruction
The source code is available on the following GitHub page: https://github.com/recognizability/shest
Citation
https://academic.oup.com/bib/article/27/1/bbag037/8488669
@article{jeong2026shest,
title={SHEST: single-cell-level artificial intelligence from haematoxylin and eosin morphology for cell-type prediction and spatial transcriptomics reconstruction},
author={Jeong, Hoyeon and Oh, Junghan and Lee, Donggeon and Kang, Jae Hwan and Choi, Yoon-La},
journal={Briefings in Bioinformatics},
volume={27},
number={1},
pages={bbag037},
year={2026},
publisher={Oxford University Press},
keywords={published, selected},
}
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bioptimus/H-optimus-0