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Improved and Robust Detection of Cell Nuclei from Four Dimensional Fluorescence Images

Segmentation-free direct methods are quite efficient for automated nuclei extraction from high dimensional images. A few such methods do exist but most of them do not ensure algorithmic robustness to parameter and noise variations. In this research, we propose a method based on multiscale adaptive f...

詳細記述

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書誌詳細
主要な著者: Bashar, Md. Khayrul, Yamagata, Kazuo, Kobayashi, Tetsuya J.
フォーマット: Artigo
言語:Inglês
出版事項: Public Library of Science 2014
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC4096508/
https://ncbi.nlm.nih.gov/pubmed/25020042
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0101891
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