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Automatic particle selection from electron micrographs using machine learning techniques
The 3D reconstruction of biological specimens using Electron Microscopy is currently capable of achieving subnanometer resolution. Unfortunately, this goal requires gathering tens of thousands of projection images that are frequently selected manually from micrographs. In this paper we introduce a n...
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| Asıl Yazarlar: | , , , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
2009
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2777658/ https://ncbi.nlm.nih.gov/pubmed/19555764 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jsb.2009.06.011 |
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