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Please use this identifier to cite or link to this item: https://elib.bsu.by/handle/123456789/10020
Title: A fully-automated nuclear segmentation approach for analysis of cell fluorescent images
Authors: Lisitsa, Y.
Yatskou, M.
Apanasovich, N.
Apanasovich, V.
Keywords: ЭБ БГУ::ОБЩЕСТВЕННЫЕ НАУКИ::Информатика
Issue Date: 2011
Publisher: БГУ
Citation: Международный конгресс по информатике: информационные системы и технологии: материалы международного научного конгресса 31 окт. – 3 нояб. 2011 г. : в 2 ч. Ч. 2. – Минск: БГУ, 2011. – C. 242-247.
Abstract: Fluorescent microscopy imaging is an efficient technique allowing estimating about protein expression in cells. A critical issue is image analysis. The complexity of investigated cell systems hampers application of standard image processing methods. We have developed an image analysis approach for the nuclear segmentation, that is (i) fully-automated, (ii) high-throughput, and (iii) has the improved accuracy of segmentation. The developed approach exploits the morphological information about nuclei in the image and pixel intensity values.
Description: Секция 9. Распознавание образов, информационные системы управления
URI: http://elib.bsu.by/handle/123456789/10020
ISBN: 978-985-518-564-3
Appears in Collections:2011. Международный конгресс по информатике : информационные системы и технологии. Часть 2.

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