Towards ‘automated gonioscopy’: a deep learning algorithm for 360° angle assessment by swept-source...
Towards ‘automated gonioscopy’: a deep learning algorithm for 360° angle assessment by swept-source optical coherence tomography
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BMA House, Tavistock Square, London, WC1H 9JR: BMJ Publishing Group Ltd
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Language
English
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Publisher
BMA House, Tavistock Square, London, WC1H 9JR: BMJ Publishing Group Ltd
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AimsTo validate a deep learning (DL) algorithm (DLA) for 360° angle assessment on swept-source optical coherence tomography (SS-OCT) (CASIA SS-1000, Tomey Corporation, Nagoya, Japan).MethodsThis was a reliability analysis from a cross-sectional study. An independent test set of 39 936 SS-OCT scans from 312 phakic subjects (128 SS-OCT meridional sca...
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Full title
Towards ‘automated gonioscopy’: a deep learning algorithm for 360° angle assessment by swept-source optical coherence tomography
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TN_cdi_proquest_miscellaneous_2512341947
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2512341947
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ISSN
0007-1161
E-ISSN
1468-2079
DOI
10.1136/bjophthalmol-2020-318275
