Efficient processing of pathological images using the grid: computer-aided prognosis of neuroblastoma

Publication

Efficient processing of pathological images using the grid: computer-aided prognosis of neuroblastoma

Authors:

Cambazoglu, B.B.; Sertel, O.; Kong, J.; Saltz, J.; Gurcan, M.N.; Catalyurek, U.V.

Source:

Proceedings of the Fifth International Workshop on Challenges of Large Applications in Distributed Environments, p.35-41 (2007)

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.