Automated Bone Segmentation

Automated Bone Segmentation is a computational method in medical image analysis that identifies and delineates periodontal bone structures from imaging data without manual intervention, distinguishing itself by its reliance on algorithmic processing to achieve accurate and efficient bone boundary detection in contrast to traditional manual or semi-automated techniques.

370

Publications

15.6K

Citations

1.6K

Authors

622

Institutions

Publications per year

2017–2026

166

Authors

1.6K

  1. JF
    Jürgen Fripp

    Australian e-Health Research Centre, Australia

    8 publications · 303 citations

    8

    h-index

  2. DS
    Dinggang Shen

    University of North Carolina at Chapel Hill, United States

    7 publications · 682 citations

    7

    h-index

  3. ‪C
    ‪Stuart Crozier‬

    The University of Queensland, Australia

    7 publications · 264 citations

    7

    h-index

  4. KN
    Kayvan Najarian

    University of Michigan, United States

    7 publications · 179 citations

    7

    h-index

  5. GZ
    Guoyan Zheng

    University of Bern, Switzerland

    6 publications · 189 citations

    6

    h-index

1–5 of 1.6K

Venues

  1. 17

    h-index

  2. Lecture notes in computer science

    LNCS · Book series · 14 publications · 592 citations

    13

    h-index

  3. Medical Image Analysis

    12 publications · 1.5K citations

    12

    h-index

  4. Medical Physics

    11 publications · 459 citations

    11

    h-index

  5. 10

    h-index

1–5