Third IEEE International Symposium on Cluster Computing and the Grid (CCGrid'03) Image Processing for the Grid Tokyo, Japan May 12-May 15 ISBN: 0-7695-1919-9
Analyzing large and distributed image datasets is a crucial step in understanding the structural and functional characteristics of biological systems. In this paper, we present the design and implementation of a toolkit that allows rapid and efficient development of biomedical image analysis applications in a distributed environment. This toolkit employs the Insight Segmentation and Registration Toolkit (ITK) and Visualization Toolki (VTK) layered on a component-based framework.tWe present experimental results on a cluster of workstations
Citation:
Shannon Hastings, Tahsin Kurc, Stephen Langella, Umit Catalyurek, Tony Pan, Joel Saltz, "Image Processing for the Grid," ccgrid, pp.36, Third IEEE International Symposium on Cluster Computing and the Grid (CCGrid'03), 2003 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||