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

53 citations · 53 across the 1 of their papers we have counts for

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q-bio.QM2017★ 53 cited

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

Xiangrui Zeng, Miguel Ricardo Leung, Tzviya Zeev-Ben-Mordehai +1

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 t…