Image Annotation Standards

Image Annotation Standards is a formal framework specifying consistent protocols, metadata schemas, and semantic rules for labeling visual content in imaging datasets to ensure interoperability, reproducibility, and machine interpretability across domains.

12

Publications

538

Citations

107

Authors

79

Institutions

Publications per year

2017–2026

4

Authors

107

  1. SO
    Shuichi Onami

    RIKEN Center for Biosystems Dynamics Research, Japan

    2 publications · 138 citations

    2

    h-index

  2. PK
    Pasi Kankaanpää

    University of Turku, Finland

    2 publications · 138 citations

    2

    h-index

  3. RP
    Ryan P. Sullivan

    Washington University in St. Louis, United States

    2 publications · 34 citations

    2

    h-index

  4. JR
    Jason R. Swedlow

    University of Dundee, United Kingdom

    2 publications · 138 citations

    2

    h-index

  5. US
    Uğis Sarkans

    European Bioinformatics Institute, United Kingdom

    2 publications · 138 citations

    2

    h-index

1–5 of 107

Venues

  1. Nature Methods

    2 publications · 138 citations

    2

    h-index

  2. Radiology

    1 publications · 65 citations

    1

    h-index

  3. 1

    h-index

  4. Journal of Biomedical Semantics

    JBMS · 1 publications · 17 citations

    1

    h-index

  5. Data in Brief

    1 publications · 27 citations

    1

    h-index

1–5