Segmentation Refinement

Segmentation Refinement is a methodological process in volume segmentation that iteratively improves the accuracy and coherence of initial segmentation results by reducing noise, correcting boundary inaccuracies, and resolving topological errors through localized adjustments guided by domain-specific constraints or learned priors.

175

Publications

9.5K

Citations

662

Authors

272

Institutions

Publications per year

2017–2026

108

Authors

662

  1. RB
    Reinhard Beichel

    University of Iowa, United States

    5 publications · 146 citations

    5

    h-index

  2. CL
    Chunming Li

    University of Electronic Science and Technology of China, China

    4 publications · 277 citations

    4

    h-index

  3. LY
    Lequan Yu

    Chinese University of Hong Kong, Hong Kong SAR China

    3 publications · 242 citations

    3

    h-index

  4. AB
    Alexander Bornik

    Graz University of Technology, Austria

    3 publications · 111 citations

    3

    h-index

  5. AG
    Alok Gupta

    University of Minnesota, United States

    3 publications · 104 citations

    3

    h-index

1–5 of 662

Venues

  1. IEEE Access

    6 publications · 197 citations

    8

    h-index

  2. Medical Image Analysis

    7 publications · 613 citations

    8

    h-index

  3. arXiv (Cornell University)

    Repository · 7 publications · 174 citations

    7

    h-index

  4. IEEE Transactions on Medical Imaging

    7 publications · 522 citations

    7

    h-index

  5. 6

    h-index

1–5