KCT0007192进行中（未招募）未知
Deep learning approach to predict central 10-2 and/or 24-2 visual field from swept-source optical coherence tomography or funduscopy images in the Korean patients with glaucoma
适应症
试验速览
- 阶段
- 未知
- 状态
- 进行中（未招募）
- 入组人数
- 3,000
研究概览
简要总结
暂无简介。
研究设计
- 研究类型
- Observational Study
入排标准
- 年龄范围
- o Limit 至 o Limit（—）
- 性别
- All
入选标准
- •Glaucoma patients who visited Pusan National University Hospital from 2011 to 2021. These patients must no history of traumatic eye damage, no other ophthalmologic diseases, and no eye surgery without cataract surgery.
排除标准
- •The patients who had history of traumatic eye damage, other ophthalmologic diseases, and history of eye surgery without cataract surgery.
研究者
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