Data-driven nucleus subclassification on colon hematoxylin and eosin using style-transferred digital pathology

This is the first work to provide cell type classification for helper T and epithelial progenitor nuclei on H&E.

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Publication Details

Journal
Journal of Medical Imaging
Published
2024-11-05
DOI
https://doi.org/10.1117/1.jmi.11.6.067501
Citations
2
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
0.69
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article

Data-driven nucleus subclassification on colon hematoxylin and eosin using style-transferred digital pathology

Nancy R. Newlin, Samuel W. Remedios, Thomas Li, Can Cui et al.
2 citations
Journal of Medical Imaging
AI in cancer detection
0.69
article

Data-driven nucleus subclassification on colon hematoxylin and eosin using style-transferred digital pathology

Nancy R. Newlin, Samuel W. Remedios, Thomas Li, Can Cui, Jia Li, Keith T. Wilson, Ruining Deng, Joseph T. Roland, Adam M. Saunders, Shunxing Bao, Lucas W. Remedios, Ken S. Lau, Yuankai Huo, Lori A. Coburn, Bennett A. Landman, M. Kay Washington, Leon Y. Cai, Qi Liu, Ho Hin Lee
article en
2 citations

Abstract

This is the first work to provide cell type classification for helper T and epithelial progenitor nuclei on H&E.

Journal of Medical ImagingVol. 11(06)
National Institutes of Health (US), Johns Hopkins University (US), Vanderbilt University (US), Vanderbilt University Medical Center (US)
Openalex Percentile: Top 23%
AI in cancer detection
0.69
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Data-driven nucleus subclassification on colon hematoxylin and eosin using style-transferred digital pathology — Nancy R. Newlin, Samuel W. Remedios, et al. · Journal of Medical Imaging (2024) | TGRS Research Map | TGRS