Image Annotation Management

Image Annotation Management is a systematic framework within image data management that governs the organization, curation, storage, retrieval, and quality control of annotations associated with digital images to ensure consistency, accuracy, and usability in machine learning and computer vision applications.

19

Publications

3.4K

Citations

122

Authors

60

Institutions

Publications per year

2017–2026

2

Authors

122

  1. DL
    Daniel L. Rubin

    Stanford University, United States

    3 publications · 163 citations

    3

    h-index

  2. CI
    Claudia I. Henschke

    Cornell University, United States

    1 publications · 2.8K citations

    1

    h-index

  3. JK
    Justin Kirby

    Frederick National Laboratory for Cancer Research, United States

    1 publications · 2.8K citations

    1

    h-index

  4. KL
    Kin‐Man Lam

    Hong Kong Polytechnic University, Hong Kong SAR China

    1 publications · 20 citations

    1

    h-index

  5. IX
    Iris Xie

    University of Wisconsin–Milwaukee, United States

    1 publications · 12 citations

    1

    h-index

1–5 of 122

Venues

  1. Pattern Recognition

    2 publications · 178 citations

    2

    h-index

  2. Defense Technical Information Center (DTIC)

    Repository · 1 publications · 23 citations

    1

    h-index

  3. Journal of the American Medical Informatics Association

    JAMIA · 1 publications · 13 citations

    1

    h-index

  4. Journal of Digital Imaging

    1 publications · 106 citations

    1

    h-index

  5. Nucleic Acids Research

    1 publications · 17 citations

    1

    h-index

1–5