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
fDate :
4/1/2008 12:00:00 AM
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;
DOI :
10.1109/MC.2008.108
