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Article

Deep learning based models to study the effect of glaucoma genes on angle dysgenesis in-vivo

2021-12-22

Abstract excerpt

<h4>Objective</h4> To predict the presence of Angle Dysgenesis on Anterior Segment Optical Coherence Tomography (ADoA) using deep learning and to correlate ADoA with mutations in known glaucoma genes. <h4>Design</h4> A cross-sectional observational study. <h4>Participants</h4> Eight hundred, high definition anterior segment optical coherence tomography (ASOCT) B-scans were included, out of which 340 images (One sc...

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Literature Corpus work
ab0e2132-339f-59b2-a102-b2a84d241826
DOI
10.1101/2021.12.18.21267894
Open publication

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Deep learning based models to study the effect of glaucoma genes on angle dysgenesis in-vivoDOI 10.1101/2021.12.18.21267894
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