Deep Learning in Glaucoma Detection and Progression Prediction: A Systematic Review and Meta-Analysis
<b>Purpose:</b> To evaluate the performance of deep learning (DL) in diagnosing glaucoma and predicting its progression using fundus photography and retinal optical coherence tomography (OCT) images. <b>Materials and Methods:</b> Relevant studies published up to 30 October 20...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-02-01
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| Series: | Biomedicines |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-9059/13/2/420 |
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