Tissue Feature Detection
Tissue Feature Detection is a computational method in biomedical image analysis that identifies and localizes specific structural or functional characteristics within biological tissues by leveraging distinctive morphological, textural, or molecular patterns unique to tissue-level organization.
114
Publications
6.1K
Citations
450
Authors
226
Institutions
Publications per year
2017–2026
35
Parents
114
Cancer cell detection in tissue sections using AFM
Małgorzata Lekka, Dorota Gil, Katarzyna Pogoda et al. · Archives of Biochemistry and Biophysics · 2011 · 369 citations · Full text
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450
University of North Carolina at Chapel Hill, United States
2 publications · 128 citations
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United States National Library of Medicine, United States
2 publications · 25 citations
2
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University at Buffalo, State University of New York, United States
2 publications · 28 citations
2
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United States National Library of Medicine, United States
2 publications · 25 citations
2
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1–5 of 450
226
National Institutes of Health
Bethesda, United States
3 h-index
10 publications
230 citations
Harvard University
Cambridge, United States
3 h-index
12 publications
258 citations

Brigham and Women's Hospital
Boston, United States
3 h-index
11 publications
224 citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
6 publications
332 citations

United States National Library of Medicine
Bethesda, United States
2 h-index
8 publications
100 citations
National University of Singapore
Singapore, Singapore
2 h-index
2 publications
44 citations
Max Planck Society
Munich, Germany
2 h-index
4 publications
644 citations
Rensselaer Polytechnic Institute
Troy, United States
2 h-index
9 publications
252 citations
1–8 of 226
5 publications · 229 citations
5
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5 publications · 192 citations
5
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4 publications · 201 citations
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3 publications · 44 citations
3
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3 publications · 84 citations
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