Image-based Nematode Classification
Image-Based Nematode Classification is a computational method that distinguishes nematode species or taxa through the analysis of visual morphological features extracted from microscopic or digital images.
19
Publications
876
Citations
72
Authors
39
Institutions
Publications per year
2017–2026
11
Parents
19
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University of California San Diego
San Diego, United States
3 h-index
12 publications
1.7K citations
University of Wuppertal
Wuppertal, Germany
2 h-index
2 publications
64 citations
Universidade Federal do Rio Grande do Norte
Natal, Brazil
1 h-index
3 publications
33 citations
Korea Aerospace University
Goyang-si, South Korea
1 h-index
1 publications
153 citations
Princeton University
Princeton, United States
1 h-index
1 publications
45 citations
Institut Agro Rennes-Angers
Rennes, France
1 h-index
4 publications
164 citations
University of Potsdam
Potsdam, Germany
1 h-index
1 publications
23 citations
Agence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail
Maisons-Alfort, France
1 h-index
4 publications
164 citations
1–8 of 39
2 publications · 233 citations
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1 publications · 10 citations
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1 publications · 174 citations
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1 publications · 31 citations
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1 publications · 21 citations
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