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Green Image
Issue No. 04 - April (2008 vol. 41)
ISSN: 0018-9162
pp: 52-59
V.S. Kumar , Ohio State Univ., Columbus
S. Narayanan , Ohio State Univ., Columbus
T. Kurc , Ohio State Univ., Columbus
Jun Kong , Ohio State Univ., Columbus
M.N. Gurcan , Ohio State Univ., Columbus
J.H. Saltz , Ohio State Univ., Columbus
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.
query processing, medical image processing,spatial information, semantic querying, large biomedical image datasets, biomedical image analysis, querying large image datasets, semantic information,Image analysis, Biomedical imaging, Image resolution, Spatial resolution, Algorithm design and analysis, Adaptive algorithm, Partitioning algorithms, Image sequence analysis, Image generation,data-intensive computing, processor architectures, parallel architectures, information storage and retrieval, artificial intelligence, computer vision, computer-assisted prognosis
V.S. Kumar, S. Narayanan, T. Kurc, Jun Kong, M.N. Gurcan, J.H. Saltz, "Analysis and Semantic Querying in Large Biomedical Image Datasets", Computer, vol. 41, no. , pp. 52-59, April 2008, doi:10.1109/MC.2008.108
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