Patent ID: 11935232
Assignee: GOOGLE LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G  A | IPC A  G

Claim 19:
20. One or more non-transitory computer storage media storing instructions that when executed by one or more computers cause the one or more computers to perform operations comprising:
obtaining: (i) an input image of eye tissue captured using an imaging modality, and (ii) a segmentation map of the eye tissue in the input image into a plurality of tissue types; and
generating, based on the input image and the segmentation map, a final progression score characterizing a likelihood that a state of a medical condition affecting the eye tissue will progress to a target state in a future interval of time, comprising:
providing the input image to each of one or more first classification neural networks to obtain a respective first progression score from each first classification neural network, wherein each first classification neural network is configured to:
receive, by an input layer of the first classification neural network, the input image of eye tissue captured using the imaging modality; and
process the input image to generate, by an output layer of the first classification neural network, a first progression score characterizing a likelihood that a state of a medical condition affecting the eye tissue will progress to the target state in the future interval of time;

providing the segmentation map to each of one or more second classification neural networks to obtain a respective second progression score from each second classification neural network, wherein each second classification neural network is configured to:
receive, by an input layer of the second classification neural network, the segmentation map of the eye tissue in the input image into a plurality of tissue types; and
process the segmentation map to generate, by an output layer of the second classification neural network, a second progression score characterizing a likelihood that a state of a medical condition affecting the eye tissue will progress to the target state in the future interval of time; and

generating the final progression score based on: (i) the first progression scores obtained based on the input image of eye tissue, and (ii) the second progression scores obtained based on the segmentation map.