Cell Feature Detection
Cell Feature Detection is a computational method that identifies and characterizes morphological, molecular, or functional attributes of individual cells within biological images or high-dimensional datasets, distinguishing it from broader feature detection approaches by its specific focus on cellular-level phenotypic properties.
383
Publications
21.6K
Citations
1.7K
Authors
680
Institutions
Publications per year
2017–2026
195
Parents
383
U-Net: deep learning for cell counting, detection, and morphometry
Thorsten Falk, Dominic Mai, Robert Bensch et al. · Nature Methods · 2018 · 2K citations
Life Sciences, Biology, Cell Biology +14
EBImage—an R package for image processing with applications to cellular phenotypes
Grégoire Pau, Florian Fuchs, Oleg Sklyar et al. · Bioinformatics · 2010 · 830 citations · Full text
1–5 of 383
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Whitehead Institute for Biomedical Research, United States
4 publications · 1.9K citations
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680

Broad Institute
Cambridge, United States
10 h-index
46 publications
5.9K citations
University of Washington
Seattle, United States
6 h-index
12 publications
277 citations
Harvard University
Cambridge, United States
6 h-index
18 publications
1.4K citations

Centre National de la Recherche Scientifique
Paris, France
5 h-index
7 publications
323 citations
University of Cambridge
Cambridge, United Kingdom
5 h-index
9 publications
416 citations
Fırat University
Elâzığ, Türkiye
5 h-index
6 publications
622 citations
ETH Zurich
Zurich, Switzerland
4 h-index
7 publications
3.3K citations

Brigham and Women's Hospital
Boston, United States
4 h-index
10 publications
337 citations
1–8 of 680
10 publications · 674 citations
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9 publications · 294 citations
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8 publications · 315 citations
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8 publications · 829 citations
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8 publications · 261 citations
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