Segmentation-based Quantification

Segmentation-Based Quantification is a methodological framework in medical imaging and computer vision that uses image segmentation to delineate regions of interest, enabling the precise measurement and analysis of morphological or functional properties within those segmented structures.

131

Publications

6.1K

Citations

625

Authors

293

Institutions

Publications per year

2017–2026

50

Parents

Authors

625

  1. ZW
    Zhenzhou Wang

    Shandong University of Technology, China

    3 publications · 156 citations

    3

    h-index

  2. SL
    Shuo Li

    Western University, Canada

    3 publications · 85 citations

    3

    h-index

  3. AC
    Aura Conci

    Universidade Federal Fluminense, Brazil

    2 publications · 100 citations

    2

    h-index

  4. LM
    Luc Moëns

    Ghent University, Belgium

    2 publications · 69 citations

    2

    h-index

  5. KN
    Kayvan Najarian

    University of Michigan, United States

    2 publications · 102 citations

    2

    h-index

1–5 of 625

Venues

  1. Computer Methods and Programs in Biomedicine

    8 publications · 305 citations

    8

    h-index

  2. Medical Image Analysis

    6 publications · 417 citations

    6

    h-index

  3. Expert Systems with Applications

    4 publications · 351 citations

    4

    h-index

  4. Pattern Recognition

    3 publications · 150 citations

    3

    h-index

  5. 3

    h-index

1–5