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

15 Jun 2017Xiangrui ZengMiguel Ricardo LeungTzviya Zeev-Ben-MordehaiMin Xu

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... (read more)

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