Deep Learning Is Effective for Classifying Normal versus Age-Related Macular Degeneration OCT Images
深度学习在老年性黄斑中的分类应用 一、方法与结果总结 1.研究方法 仪器： Heidelberg Spectralis 从OCT数据库中获取图像并链接至EMR（电子病历）中，需要注意的是，我们只取两类对象的图片：健康与AMD（老年性黄斑患者），而且每个患者的OCT断层图像只取中心的11张图像。通过随机数据集训练网络，最终从患者角度、黄斑OCT角度、图像角度建立ROC曲线。 实验结果的好坏由ROC曲
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相关文章
- 1. Deep Learning Is Effective for Classifying Normal versus Age-Related Macular Degeneration OCT Images
- 2. 【论文笔记】（三）Deep Learning Is Effective for Classifying Normal versus Age-Related Macular Degeneration
- 3. Fully Automated Detection and Quantification of Macular Fluid in OCT Using Deep Learning
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- 8. Wide&Deep versus DeepFM
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- 10. A Vision for Making Deep Learning Simple