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
Parents
19
Samuel G. Armato, Geoffrey McLennan, Luc Bidaut et al. · Medical Physics · 2011 · 2.8K citations · Full text
Hierarchical annotation of medical images
Ivica Dimitrovski, Dragi Kocev, Suzana Loškovska et al. · Pattern Recognition · 2011 · 158 citations
The caBIG™ Annotation and Image Markup Project
David S. Channin, Pattanasak Mongkolwat, Vladimir Kleper et al. · Journal of Digital Imaging · 2009 · 106 citations · Full text
1–5 of 19
122
3
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Frederick National Laboratory for Cancer Research, United States
1 publications · 2.8K citations
1
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1
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1
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1–5 of 122
60
Stanford University
Stanford, United States
3 h-index
10 publications
466 citations
University of Utah
Salt Lake City, United States
2 h-index
7 publications
2.9K citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
1 h-index
2 publications
40 citations
Science Applications International Corporation (United States)
McLean, United States
1 h-index
2 publications
5.6K citations

University of Wisconsin System
Madison, United States
1 h-index
1 publications
2.8K citations
Memorial Sloan Kettering Cancer Center
New York, United States
1 h-index
2 publications
5.6K citations
Wuhan University
Wuhan, China
1 h-index
1 publications
12 citations
Michigan Medicine
Ann Arbor, United States
1 h-index
3 publications
8.4K citations
1–8 of 60
2 publications · 178 citations
2
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Repository · 1 publications · 23 citations
1
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JAMIA · 1 publications · 13 citations
1
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1 publications · 106 citations
1
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1 publications · 17 citations
1
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1–5