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在视网膜OCT分析的多式模式中利用视觉转换器.

Georgios Feretzakis1, Christina Karakosta2, Aris Gkoulalas-Divanis3

  • 1School of Science and Technology, Hellenic Open University, Patras, Greece.

Studies in health technology and informatics
|May 17, 2025
PubMed
概括

深度学习模型,包括视觉转换器 (ViTs),通过光学连贯断层扫描 (OCT) 图像准确地分类视网膜疾病. 将患者元数据与成像数据集成,可以提高AMD和DME等疾病的诊断性能.

关键词:
机器学习 机器学习多式联络深度学习多式联络深度学习光学一致性断层扫描技术视网膜疾病分类 视网膜疾病分类视觉转换器 视觉转换器

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