Efficient processing of pathological images using the grid: computer-aided prognosis of neuroblastoma
Source:
Proceedings of the Fifth International Workshop on Challenges of Large Applications in Distributed Environments, Monterey Bay, California, p.35-41 (2007)
Keywords:
neuroblastoma, grid computing
Abstract:
This paper presents a generalizable architecture for a grid-enabled biomedical imaging application, used for processing of pathological images for computer-aided prognosis. The presented architecture provides the scientists and developers a collaborative environment for management of remote image data and algorithm repositories and job execution over the grid. It is specifically designed for processing large-scale images in a distributed environment. In addition to the architecture, we also present its application to the computer-aided neuroblastoma prognosis as well as performance evaluation of the developed system using digitized pathological images.
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