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Grid Architecture and Components in Diagnostic Pathology

Grid Architecture and Components in Diagnostic Pathology

Gloria Bueno García, Marcial García Rojo, Roberto González Morales, Oscar Déniz Suárez, Jesús García González
Copyright: © 2011 |Pages: 12
ISBN13: 9781616920104|ISBN10: 1616920106|ISBN13 Softcover: 9781616923754|EISBN13: 9781616920111
DOI: 10.4018/978-1-61692-010-4.ch005
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MLA

García, Gloria Bueno, et al. "Grid Architecture and Components in Diagnostic Pathology." Grid Technologies for E-Health: Applications for Telemedicine Services and Delivery, edited by Ekaterine Kldiashvili, IGI Global, 2011, pp. 105-116. https://doi.org/10.4018/978-1-61692-010-4.ch005

APA

García, G. B., Rojo, M. G., Morales, R. G., Suárez, O. D., & González, J. G. (2011). Grid Architecture and Components in Diagnostic Pathology. In E. Kldiashvili (Ed.), Grid Technologies for E-Health: Applications for Telemedicine Services and Delivery (pp. 105-116). IGI Global. https://doi.org/10.4018/978-1-61692-010-4.ch005

Chicago

García, Gloria Bueno, et al. "Grid Architecture and Components in Diagnostic Pathology." In Grid Technologies for E-Health: Applications for Telemedicine Services and Delivery, edited by Ekaterine Kldiashvili, 105-116. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-61692-010-4.ch005

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Abstract

The Grid vision has been described as a world in which computational power (resources, services, data) is as readily available as different utilities. They are available to users by means of computational, data, application, information and knowledge services at different levels and areas. These services can interact to perform specified tasks in an efficient and secure way. Their main applications include large-scale computational and data intensive problems in science and engineering. Therefore, Grids are likely to have a deep impact on health related applications. Moreover, they seem to be suitable for tissue-based diagnosis. This chapter analyzes the general structures and functions of a Grid environment implemented for tissue-based diagnosis on digital images. Moreover, it describes the web-based automated image analysis system developed by the authors for diagnostic pathology.

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