Patent ID: 11954902
Assignee: GOOGLE LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 17:
18. 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:
receiving a first image of eye tissue captured using a first imaging modality, wherein the first image of eye tissue captured using the first modality is a three-dimensional image comprising a plurality of voxels;
providing the first image as input to each of one or more segmentation neural networks to obtain one or more three-dimensional segmentation maps of the eye tissue in the first image, wherein each of the one or more three-dimensional segmentation maps assigns, to each of the voxels: (i) a respective tissue type from a predetermined set of tissue types, or (ii) a respective tissue type probability distribution over the predetermined set of tissue types, wherein each segmentation neural network in the first set is configured to:
receive an input image of eye tissue captured using the first imaging modality; and
process the input image to generate a three-dimensional segmentation map that segments the eye tissue in the input image into a plurality of tissue types;

generating, from each of the three-dimensional segmentation maps, a respective classification input that comprises the three-dimensional segmentation map;
providing, for each of the three-dimensional segmentation maps, the classification input for the three-dimensional segmentation map as input to each of one or more classification neural networks to obtain, for each three-dimensional segmentation map, a respective classification output from each classification neural network, wherein each classification neural network is configured to:
receive a classification input derived from a three-dimensional segmentation map of eye tissue; and
process the classification input to generate a classification output that characterizes predicted global properties of the first image of the eye tissue; and

generating, from the respective classification outputs for each of the three-dimensional segmentation maps, a final classification output for the first image.