Patent ID: 11941809
Assignee: HEALTHSCREEN INC.
Field: Medical technology (Instruments)
Classification: CPC G | IPC G

Claim 0:
1. A method of detecting glaucoma, the method comprising:
obtaining a first dataset including eye images;
augmenting the eye images to generate a second dataset including eye image variations by at least one of rotation, translating, or sheering the eye images;
pre-training at least one neural network model of a plurality of neural network models based on a small data classifier, wherein the pre-training is performed using the second dataset and includes:
generating a plurality of vectors based on the eye image variations, wherein each vector includes a plurality of labels with binary values designating eye conditions;
assigning a class label to each vector based on the plurality of labels; and
generating a glaucoma-specific pre-trained model based on the assigned class labels;

training the plurality of neural network models based on a plurality of indications of glaucoma based on retinal data including at least two of a peripapillary atrophy value, a disc hemorrhage value, and a blood vessel structure analysis value;
simultaneously generating a risk score associated with each of the plurality of indications based on the trained plurality of neural network models;
combining the risk score associated with each of the plurality of indications based on a classification model to produce a likelihood of glaucoma; and
determining whether glaucoma is present based on the likelihood of glaucoma.