Cell Cycle Phase Classification from Deep Learning-Predicted Images of Cell Organelles
Author:
Affiliation:
1. Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University,Taipei,Taiwan
Funder
National Science Council, Taiwan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9973398/9973401/09973554.pdf?arnumber=9973554
Reference22 articles.
1. DeepCycle reconstructs a cyclic cell cycle trajectory from unsegmented cell images using convolutional neural networks
2. A machine learning approach for single cell interphase cell cycle staging
3. TrackMate: An open and extensible platform for single-particle tracking
4. Image Analysis of the Mitochondrial Network Morphology With Applications in Cancer Research
5. Metabolic Regulation of Mitochondrial Morphologies in Pancreatic Beta Cells: Bioenergetics-Mitochondrial Dynamics Coupling
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