Current applications of machine learning in the screening and diagnosis of glaucoma: a systematic review and Meta-analysis
AIM: To compare the effectiveness of two well described machine learning modalities, ocular coherence tomography (OCT) and fundal photography, in terms of diagnostic accuracy in the screening and diagnosis of glaucoma. METHODS: A systematic search of Embase and PubMed databases was undertaken up to...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Press of International Journal of Ophthalmology (IJO PRESS)
2020-01-01
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| Series: | International Journal of Ophthalmology |
| Subjects: | |
| Online Access: | http://www.ijo.cn/en_publish/2020/1/20200122.pdf |