Please use this identifier to cite or link to this item:
https://er.nau.edu.ua/handle/NAU/18854
Title: | Segmentation as a part of the intelligent medical image processing |
Authors: | Dobrina O. |
Keywords: | multimodality images segmentation analysis |
Issue Date: | Oct-2012 |
Publisher: | Київ, Національний авіаційний університет |
Citation: | Dodrina O. Segmentation as a part of the intelligent medical image processing / O. Dobrina // Інтелектуальні технології лінгвістичного аналізу: міжнар. наук.-техн. конф. 23-24 жовтня 2012 р.: тези доп. – К., НАУ, 2012. – С. 33. |
Abstract: | Segmentation is one of the key tools in medical image analysis that allows an accurate recognizing and delineating individual objects (e.g. organs) on the whole image quickly and effectively. In general, segmentation technics can be divided into two main groups: methods of explicitly specifying the desired feature and algorithms where the specification is implicit. Automated segmentation of medical images is a difficult task, because the images are often noisy and contain more than a single anatomical structure with narrow distance between organ boundaries. |
URI: | http://er.nau.edu.ua/handle/NAU/18854 |
Appears in Collections: | Матеріали конференції «Інтелектуальні технології лінгвістичного аналізу» |
Files in This Item:
File | Description | Size | Format | |
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2012-с33-Dobrina м2.doc | Тези доповідей кафедри КСУ | 35.5 kB | Microsoft Word | View/Open |
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