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Tear film break-up time measurement for screening dry eye disease by deep convolutional neural network
Tear film break-up time measurement for screening dry eye disease by deep convolutional neural network
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机译：深度卷积神经网络用于筛查干眼病的泪膜破裂时间测量
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摘要
A convolutional neural network model distinguishes eyelash images, break-up area images, non-break-up images, sclera images and eyelid images corresponding to a first prediction score, a second prediction score, a third prediction score, a fourth prediction score and a fifth prediction score to respectively produce a first label, a second label, a third label, a fourth label and a fifth label, thereby a break-up area can be detected in a tear film image and a tear film break-up time can be quantized for detection.
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