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

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

15 June 2017
Xiangrui Zeng
M. R. Leung
T. Zeev-Ben-Mordehai
Min Xu
ArXivPDFHTML

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

3 / 3 papers shown
Title
AITom: Open-source AI platform for cryo-electron tomography data
  analysis
AITom: Open-source AI platform for cryo-electron tomography data analysis
Xiangrui Zeng
Min Xu
12
12
0
08 Nov 2019
An integration of fast alignment and maximum-likelihood methods for
  electron subtomogram averaging and classification
An integration of fast alignment and maximum-likelihood methods for electron subtomogram averaging and classification
Yixiu Zhao
Xiangrui Zeng
Qiang Guo
Min Xu
11
12
0
04 Apr 2018
MatConvNet - Convolutional Neural Networks for MATLAB
MatConvNet - Convolutional Neural Networks for MATLAB
Andrea Vedaldi
Karel Lenc
183
2,946
0
15 Dec 2014
1