http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2020214554-A1

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filingDate 2019-01-04-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_295df06a5c8293d1bcaa40ec4d7ce4a0
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publicationDate 2020-07-09-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber US-2020214554-A1
titleOfInvention Tear film break-up time measurement for screening dry eye disease by deep convolutional neural network
abstract 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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