Efficient processing of pathological images using the grid
Berkant Barla Cambazoglu, Olcay Sertel, Jun Kong, Joel Haskin Saltz, Metin N. Gürcan, Ümit V. Çatalyürek · 2007
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.