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A convolutional autoencoder approach for mining features in cellular electron cryo-tomograms and weakly supervised coarse segmentation

Cellular electron cryo-tomography enables the 3D visualization of cellular organization in the near-native state and at submolecular resolution. However, the contents of cellular tomograms are often complex, making it difficult to automatically isolate different in situ cellular components. In this...

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Detalhes bibliográficos
Publicado no:J Struct Biol
Main Authors: Zeng, Xiangrui, Leung, Miguel Ricardo, Zeev-Ben-Mordehai, Tzviya, Xu, Min
Formato: Artigo
Idioma:Inglês
Publicado em: 2017
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6661905/
https://ncbi.nlm.nih.gov/pubmed/29289599
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jsb.2017.12.015
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