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US 11,298,017 B2Granted
Medical analysis system
OwnerBao Traninventor
Life of this patent
Estimating the term…
Abstract
Systems and methods are disclosed to inspect an eye includes capturing an eye image using a mobile device camera; extracting features of the eye; applying a deep learning neural network to detect potential eye damage; and reporting the potential eye damage for treatment, such as those from laser pointers, among others.
Claims20
A method to inspect an eye with a mobile device, comprising:
- capturing an eye image using a mobile device camera coupled to a processor;
- capturing gyroscope or accelerometer readings as image metadata to aid in orientation normalization and image registration by the processor;
- extracting features of the eye using the image corrected with image metadata and clinical information from a population including medical history by the processor;
- applying the extracted features to a deep learning neural network to detect potential eye damage by the processor;
- reporting the potential eye damage for treatment.
2 more elements
A method to inspect an eye with a mobile device with a gyroscope or an accelerometer, comprising:
- capturing an eye image using a mobile device camera coupled to a processor;
- capturing gyroscope or accelerometer readings as image metadata to aid in orientation normalization and image registration by the processor;
- extracting features of the eye using the image corrected with image metadata and clinical information including medical history by the processor;
- and
- detecting third party intentional laser damage on the eye using the deep learning network.
2 more elements
A method to inspect an eye with a mobile device with a gyroscope or an accelerometer, comprising:
- capturing an eye image using a mobile device camera coupled to a processor;
- capturing gyroscope or accelerometer readings as image metadata to aid in orientation normalization and image registration by the processor;
- extracting features of the eye using the image corrected with image metadata and clinical information including medical history by the processor;
- applying the extracted features to a deep learning neural network to detect potential eye damage by the processor;
- reporting the potential eye damage for treatment;
- and
- wherein the adapter enables two or more cameras in the mobile device to image the eye.
4 more elements
Dependencies are inferred from the claim text.