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Automated Deep Learning-based Multi-class Fluid Segmentation in Swept-Source Optical Coherence Tomography Images

View ORCID ProfileJonathan D. Oakley, Simrat K. Sodhi, View ORCID ProfileDaniel B. Russakoff, View ORCID ProfileNetan Choudhry
doi: https://doi.org/10.1101/2020.09.01.278259
Jonathan D. Oakley
1Voxeleron LLC, San Francisco, USA
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  • For correspondence: jonathan@voxeleron.com
Simrat K. Sodhi
2University of Cambridge, Cambridge, UK
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Daniel B. Russakoff
1Voxeleron LLC, San Francisco, USA
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Netan Choudhry
3Vitreous Retina Macula Specialists of Toronto, Etobicoke, ON, Canada
4Department of Ophthalmology & Visual Sciences, University of Toronto, Toronto, ON Canada
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Posted September 02, 2020.
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Automated Deep Learning-based Multi-class Fluid Segmentation in Swept-Source Optical Coherence Tomography Images
Jonathan D. Oakley, Simrat K. Sodhi, Daniel B. Russakoff, Netan Choudhry
bioRxiv 2020.09.01.278259; doi: https://doi.org/10.1101/2020.09.01.278259
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Automated Deep Learning-based Multi-class Fluid Segmentation in Swept-Source Optical Coherence Tomography Images
Jonathan D. Oakley, Simrat K. Sodhi, Daniel B. Russakoff, Netan Choudhry
bioRxiv 2020.09.01.278259; doi: https://doi.org/10.1101/2020.09.01.278259

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