Patent · US Active

Tear film break-up time measurement for screening dry eye disease by deep convolutional neural network

US10779725B2 · kind B2 · utility

0Cited by
0References
7Claims
0Family size

Assignee

Inventors

Key dates

Filing dateJan 4, 2019
Grant dateSep 22, 2020
Priority date—
Expiry dateMar 17, 2039

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG06T2207/30041
  • WIPO fieldMeasurement
  • WIPO sectorInstruments

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.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.