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AUTOMATED CELL SEGMENTATION WITH 3D FLUORESCENCE MICROSCOPY IMAGES

A large number of cell-oriented cancer investigations require an effective and reliable cell segmentation method on three dimensional (3D) fluorescence microscopic images for quantitative analysis of cell biological properties. In this paper, we present a fully automated cell segmentation method tha...

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Bibliografski detalji
Izdano u:Proc IEEE Int Symp Biomed Imaging
Glavni autori: Kong, Jun, Wang, Fusheng, Teodoro, George, Liang, Yanhui, Zhu, Yangyang, Tucker-Burden, Carol, Brat, Daniel J.
Format: Artigo
Jezik:Inglês
Izdano: 2015
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC4578315/
https://ncbi.nlm.nih.gov/pubmed/26405506
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ISBI.2015.7164091
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