New Results
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
Simrat K. Sodhi
2University of Cambridge, Cambridge, UK
Daniel B. Russakoff
1Voxeleron LLC, San Francisco, USA
Netan Choudhry
3Vitreous Retina Macula Specialists of Toronto, Etobicoke, ON, Canada
4Department of Ophthalmology & Visual Sciences, University of Toronto, Toronto, ON Canada

Article usage
Posted September 02, 2020.
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
Subject Area
Subject Areas
- Biochemistry (9138)
- Bioengineering (6784)
- Bioinformatics (24004)
- Biophysics (12131)
- Cancer Biology (9537)
- Cell Biology (13781)
- Clinical Trials (138)
- Developmental Biology (7638)
- Ecology (11702)
- Epidemiology (2066)
- Evolutionary Biology (15513)
- Genetics (10645)
- Genomics (14327)
- Immunology (9484)
- Microbiology (22847)
- Molecular Biology (9094)
- Neuroscience (48998)
- Paleontology (355)
- Pathology (1482)
- Pharmacology and Toxicology (2570)
- Physiology (3848)
- Plant Biology (8331)
- Synthetic Biology (2296)
- Systems Biology (6192)
- Zoology (1301)