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深度学习模型用于检测X链联视网膜分裂患者的光学连贯性断层扫描上的囊体液收集

Jonathan Hensman1, Yasmine El Allali1, Hind Almushattat1

  • 1Department of Ophthalmology, Amsterdam University Medical Centre, Amsterdam, the Netherlands.

Acta ophthalmologica
|April 5, 2025
PubMed
概括

一种深度学习 (DL) 模型使用光谱域光学连贯断层扫描 (SD-OCT) 准确地检测和量化X连接视网膜分裂 (XLRS) 患者的囊体液收集 (CFC). 虽然该模型是有效的,但它倾向于高估CFC,需要在未来进行改进.

关键词:
在眼科医学的AI.与X结合的青少年视网膜分裂.囊状黄斑胀 囊状黄斑胀 囊状黄斑胀深度学习是一种深度学习.深度强化学习的学习.图像分割 图像细分 图像细分光学连贯性断层扫描技术

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