Computational Tissue Classification
Computational Tissue Classification is a computational method that distinguishes tissue types by analyzing optical biopsy data through algorithmic models trained to identify morphological and molecular features indicative of pathological states.
274
Publications
16.8K
Citations
1.4K
Authors
594
Institutions
Publications per year
2017–2026
117
Parents
274
Tissue Classification with Gene Expression Profiles
Amir Ben‐Dor, Laurakay Bruhn, Nir Friedman et al. · Journal of Computational Biology · 2000 · 743 citations
1–5 of 274
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594
Harvard University
Cambridge, United States
11 h-index
34 publications
3.4K citations

Brigham and Women's Hospital
Boston, United States
9 h-index
24 publications
2K citations
Heidelberg University
Heidelberg, Germany
8 h-index
64 publications
2.1K citations
University of Illinois Urbana-Champaign
Urbana, United States
8 h-index
17 publications
631 citations
German Cancer Research Center
Heidelberg, Germany
7 h-index
32 publications
1.1K citations

Johns Hopkins University
Baltimore, United States
6 h-index
14 publications
464 citations

Imperial College London
London, United Kingdom
6 h-index
16 publications
438 citations

University Hospital Heidelberg
Heidelberg, Germany
6 h-index
35 publications
895 citations
1–8 of 594
11 publications · 231 citations
10
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10 publications · 498 citations
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9 publications · 2K citations
9
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7 publications · 424 citations
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BOE · 7 publications · 359 citations
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