DocumentCode
1129062
Title
Analysis and Semantic Querying in Large Biomedical Image Datasets
Author
Kumar, V. Satya ; Narayanan, S. ; Kurc, T. ; Jun Kong ; Gurcan, M.N. ; Saltz, J.H.
Author_Institution
Ohio State Univ., Columbus
Volume
41
Issue
4
fYear
2008
fDate
4/1/2008 12:00:00 AM
Firstpage
52
Lastpage
59
Abstract
Biomedical image analysis plays an important role in diagnosing, prognosing, and treating complex diseases. The authors describe a set of techniques for analyzing, processing, and querying large image datasets using semantic and spatial information.
Keywords
medical image processing; query processing; biomedical image analysis; large biomedical image datasets; querying large image datasets; semantic information; semantic querying; spatial information; Adaptive algorithm; Algorithm design and analysis; Biomedical imaging; Image analysis; Image generation; Image resolution; Image sequence analysis; Partitioning algorithms; Spatial resolution; artificial intelligence; computer vision; computer-assisted prognosis; data-intensive computing; information storage and retrieval; parallel architectures; processor architectures;
fLanguage
English
Journal_Title
Computer
Publisher
ieee
ISSN
0018-9162
Type
jour
DOI
10.1109/MC.2008.108
Filename
4488251
Link To Document