TY - GEN
T1 - Image processing for the grid
T2 - 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2003
AU - Hastings, Shannon
AU - Kurc, Tahsin
AU - Langella, Stephen
AU - Catalyurek, Umit
AU - Pan, Tony
AU - Saltz, Joel
PY - 2003
Y1 - 2003
N2 - 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 Toolkit (VTK) layered on a component-based framework. We present experimental results on a cluster of workstations.
AB - 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 Toolkit (VTK) layered on a component-based framework. We present experimental results on a cluster of workstations.
UR - https://www.scopus.com/pages/publications/33745126792
U2 - 10.1109/CCGRID.2003.1199350
DO - 10.1109/CCGRID.2003.1199350
M3 - Conference contribution
SN - 0769519199
SN - 9780769519197
T3 - Proceedings - CCGrid 2003: 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid
SP - 36
EP - 43
BT - Proceedings - CCGrid 2003
Y2 - 12 May 2003 through 15 May 2003
ER -