Trunk Segmentation

Trunk Segmentation is a computational method in biomedical image analysis that identifies and delineates the main body axis in organisms or anatomical structures by partitioning the trunk region into morphologically distinct segments based on spatial continuity and intensity homogeneity.

49

Publications

2.4K

Citations

162

Authors

88

Institutions

Publications per year

2017–2026

14

Authors

162

  1. TD
    Tao Dai

    Northwest University, China

    3 publications · 93 citations

    4

    h-index

  2. XZ
    Xingliang Zhang

    Northwest University, China

    3 publications · 93 citations

    4

    h-index

  3. NC
    Nigel C. Hughes

    University of California, Riverside, United States

    2 publications · 128 citations

    3

    h-index

  4. GF
    Giuseppe Fusco

    University of Padua, Italy

    2 publications · 128 citations

    3

    h-index

  5. MA
    Michael Akam

    University of Cambridge, United Kingdom

    2 publications · 204 citations

    2

    h-index

1–5 of 162

Venues

  1. Development

    5 publications · 546 citations

    5

    h-index

  2. Development Genes and Evolution

    3 publications · 93 citations

    3

    h-index

  3. Forests

    2 publications · 122 citations

    2

    h-index

  4. Palaeontology

    2 publications · 66 citations

    2

    h-index

  5. Evolution

    2 publications · 62 citations

    2

    h-index

1–5