| DC Field | Value | Language |
|---|
| dc.contributor.author | Kovalev, V. A. | - |
| dc.date.accessioned | 2015-10-15T09:20:15Z | - |
| dc.date.accessioned | 2017-07-18T11:54:29Z | - |
| dc.date.available | 2015-10-15T09:20:15Z | - |
| dc.date.available | 2017-07-18T11:54:29Z | - |
| dc.date.issued | 2015 | - |
| dc.identifier.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 | ru_RU |
| dc.identifier.isbn | 978-985-543-146-7 | - |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/4937 | - |
| dc.description.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. | ru_RU |
| dc.language.iso | en | ru_RU |
| dc.publisher | БГУИР | ru_RU |
| dc.subject | материалы конференций | ru_RU |
| dc.subject | medical image | ru_RU |
| dc.subject | framework | ru_RU |
| dc.title | A framework for agent-based analysis of big collections of medical image data | ru_RU |
| dc.type | Article | ru_RU |
| Appears in Collections: | BIG DATA and Advanced Analytics. Использование BIG DATA для оптимизации бизнеса и информационных технологий (2015)
|
