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

Claim 0:
1. A method comprising:
acquiring, by a processor, a digital image generated by a retinal camera during a calibration session that occurs outside of a diagnostic session involving a patient,
wherein the digital image does not include the patient who is to be imaged during the diagnostic session, and therefore is based on light reflected by an ambient environment through a lens of the retinal camera;

applying, by the processor, a machine learning model to the digital image to produce an output that identifies a digital feature in the digital image that is representative of an artifact with no pathological value,
wherein the digital feature corresponds to a segmented region of pixels in the digital image;

classifying, by the processor, the segmented region of pixels corresponding to the digital feature as being representative of (i) an artifact that is caused by an optical aberration or (ii) an artifact that is caused by a physical element adhered to the lens of the retinal camera; and
performing, by the processor, a remediation action based on an outcome of said classifying.