Patent ID: 11875480
Assignee: VERILY LIFE SCIENCES LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G  A | IPC A  G

Claim 19:
20. A computer-implemented method comprising:
acquiring first pixel data associated with a first digital image of a fundus generated by a retinal camera;
acquiring second pixel data associated with a second digital image of the fundus generated by the retinal camera;
applying a detection model to the first pixel data to identify a first digital feature in the first digital image that is unexpected given a known physiology of the fundus,
wherein the detection model is trained on images labeled as being representative of different types of artifacts, the different types of artifacts including artifacts caused by optical aberrations and artifacts caused by physical elements;

applying the detection model to the second pixel data to identify a second digital feature in the second digital image that is unexpected given the known physiology of the fundus;
classifying the first and second digital features identified in the first and second digital images as being representative of either physiological features or artifacts;
determining, based on said classifying, that a digital feature was classified as an artifact, the digital feature being the first digital feature or the second digital feature; and
storing an indication of the digital feature in a data structure.