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Multi-Feature Contour Evolution for Automatic Live Cell Segmentation in Time Lapse Imagery

Cell boundary segmentation in live cell image sequences is the first step towards quantitative analysis of cell motion and behavior. The time lapse microscopy imaging produces large volumes of image sequence collections which requires fast and robust automatic segmentation of cell boundaries to util...

詳細記述

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書誌詳細
主要な著者: Ersoy, Ilker, Palaniappan, Kannappan
フォーマット: Artigo
言語:Inglês
出版事項: 2008
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC2632969/
https://ncbi.nlm.nih.gov/pubmed/19162670
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