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Please use this identifier to cite or link to this item: https://elib.bsu.by/handle/123456789/166401
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dc.contributor.authorAblameyko, Sergey V.-
dc.contributor.authorNedzved, A. M.-
dc.contributor.authorLagunovsky, D. M.-
dc.contributor.authorPatsko, O. A.-
dc.contributor.authorKirillov, V. A.-
dc.date.accessioned2017-01-25T11:09:55Z-
dc.date.available2017-01-25T11:09:55Z-
dc.date.issued2001-
dc.identifier.citationProceedings of 6th International Conference on Pattern recognition and information processing (PRIP’2001), Minsk, Republic of Belarus, May 15–17, 2001. – Minsk, 2001. – Vol. 2. – P. 26–34.ru
dc.identifier.isbn985-6453-60-7-
dc.identifier.urihttp://elib.bsu.by/handle/123456789/166401-
dc.description.abstractMany techniques have been developed during last 10 years for cell recognition in biomedical images. Differences depend on both application field and researcher's scientific background. We consider here methods most commonly used for cell extraction in biomedical images. We briefly review a number of papers that are representative of the various approachesru
dc.language.isoenru
dc.subjectЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Кибернетикаru
dc.titleCell image segmentation: review of approachesru
dc.typeconference paperru
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