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

Authors

72

  1. PC
    Pamela C. Cosman

    University of California San Diego, United States

    3 publications · 407 citations

    3

    h-index

  2. WR
    William R Schafer

    MRC Laboratory of Molecular Biology, United Kingdom

    3 publications · 407 citations

    3

    h-index

  3. EJ
    Eike J. Nustede

    University of Wuppertal, Germany

    2 publications · 64 citations

    2

    h-index

  4. JB
    Julia Bornhorst

    University of Potsdam, Germany

    2 publications · 64 citations

    2

    h-index

  5. SF
    Sebastian Fudickar

    Carl von Ossietzky Universität Oldenburg, Germany

    2 publications · 64 citations

    2

    h-index

1–5 of 72

Venues

  1. Journal of Neuroscience Methods

    2 publications · 233 citations

    2

    h-index

  2. Frontiers in Plant Science

    1 publications · 10 citations

    2

    h-index

  3. IEEE Transactions on Biomedical Engineering

    1 publications · 174 citations

    1

    h-index

  4. Diversity

    1 publications · 31 citations

    1

    h-index

  5. Computer Methods and Programs in Biomedicine

    1 publications · 21 citations

    1

    h-index

1–5