Validation and Clinical Applicability of Whole-Volume Automated Segmentation of Optical Coherence Tomography in Retinal Disease Using Deep Learning
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- Marc Wilson
- Google Health, London, United Kingdom
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- Reena Chopra
- Google Health, London, United Kingdom
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- Megan Z. Wilson
- Google Health, London, United Kingdom
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- Charlotte Cooper
- Google Health, London, United Kingdom
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- Patricia MacWilliams
- Google Health, London, United Kingdom
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- Yun Liu
- Google Health, Palo Alto, California
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- Ellery Wulczyn
- Google Health, Palo Alto, California
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- Daniela Florea
- National Institute for Health Research Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS (National Health Service) Foundation Trust, London, United Kingdom
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- Cían O. Hughes
- Google Health, London, United Kingdom
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- Alan Karthikesalingam
- Google Health, London, United Kingdom
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- Hagar Khalid
- National Institute for Health Research Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS (National Health Service) Foundation Trust, London, United Kingdom
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- Sandra Vermeirsch
- National Institute for Health Research Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS (National Health Service) Foundation Trust, London, United Kingdom
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- Luke Nicholson
- National Institute for Health Research Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS (National Health Service) Foundation Trust, London, United Kingdom
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- Pearse A. Keane
- National Institute for Health Research Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS (National Health Service) Foundation Trust, London, United Kingdom
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- Konstantinos Balaskas
- National Institute for Health Research Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS (National Health Service) Foundation Trust, London, United Kingdom
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- Christopher J. Kelly
- Google Health, London, United Kingdom
収録刊行物
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- JAMA Ophthalmology
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JAMA Ophthalmology 139 (9), 964-, 2021-09-01
American Medical Association (AMA)