| DC Field | Value | Language |
|---|
| dc.contributor.author | Kovalev, V. A. | - |
| dc.contributor.author | Kalinovsky, A. A. | - |
| dc.date.accessioned | 2015-10-09T11:22:38Z | - |
| dc.date.accessioned | 2017-07-18T11:54:29Z | - |
| dc.date.available | 2015-10-09T11:22:38Z | - |
| dc.date.available | 2017-07-18T11:54:29Z | - |
| dc.date.issued | 2015 | - |
| dc.identifier.citation | Kovalev V. A., Kalinovsky A. A. Big medical data: image mining, retrieval, and analytics // 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. 33 - 46. | ru_RU |
| dc.identifier.isbn | 978-985-543-146-7 | - |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/4905 | - |
| dc.description.abstract | This paper is devoted to the key issues associated with handling of the content of very large databases of natively digital medical images. A particular attention is drawn to the problem of examining image content in order to generate new knowledge, which is lately referred to as the image
mining problem. Other important questions discussed in the paper are the content-based medical
image retrieval and image analytics that are aimed at automation of recent patient diagnosis and
treatment technologies. It is also argued that in many occasions such tasks of big medical image data analysis can be solved using co-occurrence image descriptors of different sorts | ru_RU |
| dc.language.iso | en | ru_RU |
| dc.publisher | БГУИР | ru_RU |
| dc.subject | материалы конференций | ru_RU |
| dc.subject | big medical data | ru_RU |
| dc.subject | image mining | ru_RU |
| dc.title | Big medical data: image mining, retrieval, and analytics | 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)
|
