Mark L Christopher

US Patent:

20210407096, Dec 30, 2021

Filed:

Oct 30, 2019

Appl. No.:

17/289673

Inventors:

- Oakland CA, US
Mark Christopher - San Diego CA, US
Christopher Bowd - San Diego CA, US
Akram Belghith - San Diego CA, US
Robert Weinreb - San Diego CA, US

International Classification:

G06T 7/11
G06T 7/00
G06T 3/20
G06T 3/40
G06T 3/60
G06T 11/00

Abstract:

This application describes a system to estimate the likelihood of glaucoma from fundus images. The system may include receiving an optic nerve head region of an original image. A variation to the optic nerve head region are applied. A first primary open angle glaucoma likelihood estimate based on the first varied optic nerve head region is generated using a trained convolutional neural network. A second primary open angle glaucoma likelihood estimate based on the second varied optic nerve head region is generated using a trained convolutional neural network. The first primary open angle glaucoma likelihood estimate and the second primary open angle glaucoma likelihood estimate are combined into a final primary open angle glaucoma likelihood estimate. The final primary open angle glaucoma likelihood estimate is presented to a user.