DocumentCode
2399531
Title
Annio: A Web-Based Tool for Annotating Medical Images with Ontologies
Author
Chapman, Brian E. ; Wong, Mona ; Farcas, Claudiu ; Reynolds, Patrick
Author_Institution
Univ. of California, San Diego, La Jolla, CA, USA
fYear
2012
fDate
27-28 Sept. 2012
Firstpage
147
Lastpage
147
Abstract
We describe a web-based, volumetric image annotation tool that is based entirely on HTML5/CSS3 web presentation technologies. The annotation tool can be used on a wide variety of volumetric medical image formats. The application interfaces with ontology web services so that the annotations are labeled with well-defined terms.
Keywords
Web services; hypermedia markup languages; image retrieval; medical image processing; ontologies (artificial intelligence); user interfaces; Annio; HTML5-CSS3 Web presentation technologies; Web-based volumetric image labeled annotation tool; ontology Web services; Biomedical imaging; Browsers; Conferences; Interpolation; Medical services; Ontologies; annotation; medical imaging; ontologies;
fLanguage
English
Publisher
ieee
Conference_Titel
Healthcare Informatics, Imaging and Systems Biology (HISB), 2012 IEEE Second International Conference on
Conference_Location
San Diego, CA
Print_ISBN
978-1-4673-4803-4
Type
conf
DOI
10.1109/HISB.2012.72
Filename
6366239
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