Google Inc.

Terry Spitz

Trevor Back

Jeffrey De Fauw

Joseph R Ledsam

Pearse A Keane

Jim Huibrecht Winkens

Annette Ada Nkechinyere Obika

Jason Yim

Reena Kumari Chopra

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a final progression score characterizing a likelihood that a state of a medical condition affecting eye tissue will progress to a target state in a future interval of time. In one aspect, a method comprises: 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; 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; 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; and generating the final progression score based on the first and second progression scores.

Predicting disease progression from tissue images and tissue segmentation maps

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London, United Kingdom

Terry Spitz