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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/4937
Title: A framework for agent-based analysis of big collections of medical image data
Authors: Kovalev, V. A.
Keywords: материалы конференций
medical image
framework
Issue Date: 2015
Publisher: БГУИР
Citation: Kovalev V. A. A framework for agent-based analysis of big collections of medical image data // BIG DATA and Predictive Analytics. Использование BIG DATA для оптимизации бизнеса и информационных технологий : сборник материалов международной научно-практической конференции / редкол. : М. П. Батура [и др.]. – Минск : БГУИР, 2015. – С. 115-118
Abstract: This paper introduces an agent-based framework for the analysis of very large collections of medical image data. Towards this end, a scalable and highly flexible architecture of distributed image computing is suggested which utilizes the agent-based approach and some solutions borrowed from recent Big Data technology. The medical image analysis power stems from the idea of dynamic N-tuples of varying lengths and different ways of sampling of image elements. As of now, the framework remains on its early stage.
URI: https://libeldoc.bsuir.by/handle/123456789/4937
ISBN: 978-985-543-146-7
Appears in Collections:BIG DATA and Predictive Analytics. Использование BIG DATA для оптимизации бизнеса и информационных технологий (2015)

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