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 / V. A. Kovalev // BIG DATA and Predictive Analytics. Использование BIG DATA для оптимизации бизнеса и информационных технологий : сборник материалов международной научно-практической конференции / Белорусский государственный университет информатики и радиоэлектроники ; редкол.: М. П. Батура [и др.]. – Минск, 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 Advanced Analytics. Использование BIG DATA для оптимизации бизнеса и информационных технологий (2015)
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