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

Authors:
Berkant Barla Cambazoglu;Olcay Sertel;Jun Kong;Joel Saltz;Metin N. Gurcan;Umit V. Catalyurek
Affiliations:
Ohio State University, Columbus, OH;Ohio State University, Columbus, OH;Ohio State University, Columbus, OH;Ohio State University, Columbus, OH;Ohio State University, Columbus, OH;Ohio State University, Columbus, OH
Venue:
Proceedings of the 5th IEEE workshop on Challenges of large applications in distributed environments
Year:
2007

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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.