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Graph-regularized 3D shape reconstruction from highly anisotropic and noisy images

Analysis of microscopy images can provide insight into many biological processes. One particularly challenging problem is cellular nuclear segmentation in highly anisotropic and noisy 3D image data. Manually localizing and segmenting each and every cellular nucleus is very time-consuming, which rema...

詳細記述

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書誌詳細
出版年:Signal Image Video Process
主要な著者: Widmer, Christian, Heinrich, Stephanie, Drewe, Philipp, Lou, Xinghua, Umrania, Shefali, Rätsch, Gunnar
フォーマット: Artigo
言語:Inglês
出版事項: 2014
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC4389647/
https://ncbi.nlm.nih.gov/pubmed/25866587
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11760-014-0694-8
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