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改善糖尿病视网膜病变的诊断:通过深度学习在OCT中自动细分超反射焦点

Yixiao Li1, Boyu Yu2, Mingwei Si3

  • 1Department of Ophthalmology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong Province, China.

International ophthalmology
|February 18, 2025
PubMed
概括

本研究引入了一种新的KiU-Net算法,用于对糖尿病视网膜病变 (DR) 患者的光学连贯性断层扫描 (OCT) 图像中的超反射焦点 (HRF) 进行细分. 该模型提高了诊断的准确性,并减少了眼科医生的工作量.

关键词:
深度学习是一种深度学习.糖尿病视网膜病变 - 糖尿病视网膜病变过度反射的焦点 超反射的焦点分段化算法 分段化算法

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