Robust Adaptive 3-D Segmentation of Vessel Laminae From Fluorescence Confocal Microscope Images and Parallel GPU Implementation

This paper presents robust 3-D algorithms to segment vasculature that is imaged by labeling laminae, rather than the lumenal volume. The signal is weak, sparse, noisy, nonuniform, low-contrast, and exhibits gaps and spectral artifacts, so adaptive thresholding and Hessian filtering based methods are...

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Detaylı Bibliyografya
Asıl Yazarlar: Narayanaswamy, Arunachalam, Dwarakapuram, Saritha, Bjornsson, Christopher S., Cutler, Barbara M., Shain, William, Roysam, Badrinath
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: 2010
Konular:
Article
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC2852140/
https://ncbi.nlm.nih.gov/pubmed/20199906
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2009.2022086
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