Segmentation algorithms of biomedical images: development and quantitative evaluation

The article presents the comparative analysis of the biomedical image segmentation methods. The work discusses segmentation methods on the basis of previous labeling and spatial moments. The experimental results show that the developed methods have higher accuracy by signal-noise ratio compared to t...

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Bibliographic Details
Date:2016
Main Authors: Berezsky, O., Batko, Yu., Melnyk, G., Verbovyy, S., Pitsun, O.
Format: Article
Language:English
Published: Інститут проблем штучного інтелекту МОН України та НАН України 2016
Series:Штучний інтелект
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Online Access:http://dspace.nbuv.gov.ua/handle/123456789/132075
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Journal Title:Digital Library of Periodicals of National Academy of Sciences of Ukraine
Cite this:Segmentation algorithms of biomedical images: development and quantitative evaluation / O. Berezsky, Yu. Batko, G. Melnyk, S. Verbovyy, O. Pitsun // Штучний інтелект. — 2016. — № 3. — С. 104-115. — Бібліогр.: 19 назв. — англ.

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Digital Library of Periodicals of National Academy of Sciences of Ukraine