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Updated: Sep 19, 2025

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自动机器学习光学连贯性断层图像的分类 视网膜状况的图像 使用谷歌云顶 AI AI

Elliott M Sina1, Jose Pena1, Sidra Zafar2

  • 1Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA.

Retina (Philadelphia, Pa.)
|June 16, 2025
PubMed
概括

自动机器学习 (AutoML) 从OCT图像中准确诊断了视网膜疾病,显示了与年龄相关的黄斑变性 (AMD) 和糖尿病黄斑 (DME) 的高性能. 这种人工智能工具为临床整合提供了一个用户友好的方法.

关键词:
在AutoML中使用AutoML.与年龄相关的黄斑变性.自动机器学习自动化机器学习糖尿病性黄斑胀 糖尿病性黄斑胀皮质膜膜的皮质膜膜.图像的分类图像的分类.光学连贯性断层扫描 (optical coherence tomography) 是一种光学连贯性断层扫描技术.视网膜 视网膜 视网膜 是一个视网膜静脉闭塞 视网膜静脉闭塞

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