Predicting disease progression from tissue images and tissue segmentation maps

Number of patents in Portfolio can not be more than 2000

United States of America Patent

PATENT NO 11935232
APP PUB NO 20220301152A1
SERIAL NO

17257999

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Abstract

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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.

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Patent Owner(s)

Patent OwnerAddress
GOOGLE LLC1600 AMPHITHEATRE PARKWAY MOUNTAIN VIEW CA 94043

International Classification(s)

Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Back, Trevor Saffron Walden, GB 7 77
Chopra, Reena Kumari Hounslow, GB 1 1
De, Fauw Jeffrey London, GB 7 86
Keane, Pearse A London, GB 4 61
Ledsam, Joseph R Tokyo, JP 7 77
Obika, Annette Ada Nkechinyere London, GB 2 1
Spitz, Terry London, GB 1 1
Winkens, Jim Huibrecht London, GB 2 1
Yim, Jason London, GB 29 1789

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