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Cell segmentation using deep learning: comparing label and label-free approaches using hyper-labeled image stacks
William D. Cameron, Cindy V. Bui, Alex M. Bennett, Huntley H. Chang, View ORCID ProfileJonathan V. Rocheleau
doi: https://doi.org/10.1101/2020.01.09.900605
William D. Cameron
1Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada
2Toronto General Research Institute, University Health Network, Toronto, Ontario, Canada
Cindy V. Bui
1Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada
2Toronto General Research Institute, University Health Network, Toronto, Ontario, Canada
Alex M. Bennett
1Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada
2Toronto General Research Institute, University Health Network, Toronto, Ontario, Canada
Huntley H. Chang
1Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada
2Toronto General Research Institute, University Health Network, Toronto, Ontario, Canada
Jonathan V. Rocheleau
1Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada
2Toronto General Research Institute, University Health Network, Toronto, Ontario, Canada
3Banting and Best Diabetes Centre, University of Toronto, Toronto, Ontario, Canada
Posted January 11, 2020.
Cell segmentation using deep learning: comparing label and label-free approaches using hyper-labeled image stacks
William D. Cameron, Cindy V. Bui, Alex M. Bennett, Huntley H. Chang, Jonathan V. Rocheleau
bioRxiv 2020.01.09.900605; doi: https://doi.org/10.1101/2020.01.09.900605
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