公开(公告)号：US20220301152A1

公开(公告)日：2022-09-22

申请号：US17257999

申请日：2020-08-17

Applicant: Google LLC

Inventor： Jason Yim ,  Reena Kumari Chopra ,  Terry Spitz ,  Jim Huibrecht Winkens ,  Annette Ada Nkechinyere Obika ,  Trevor Back ,  Joseph R. Ledsam ,  Pearse A. Keane ,  Jeffrey De Fauw

IPC: G06T7/00 ,  G06V10/764 ,  G06V10/82 ,  G06T7/11 ,  A61B5/00

Abstract: 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.

公开(公告)号：US11954902B2

公开(公告)日：2024-04-09

申请号：US17114586

申请日：2020-12-08

Applicant: Google LLC

Inventor： Jeffrey De Fauw ,  Joseph R. Ledsam ,  Bernardino Romera-Paredes ,  Stanislav Nikolov ,  Nenad Tomasev ,  Samuel Blackwell ,  Harry Askham ,  Xavier Glorot ,  Balaji Lakshminarayanan ,  Trevor Back ,  Mustafa Suleyman ,  Pearse A. Keane ,  Olaf Ronneberger ,  Julien Robert Michel Cornebise

IPC: G06V10/82 ,  G06F18/21 ,  G06F18/2413 ,  G06F18/25 ,  G06T7/00 ,  G06T11/00 ,  G06V10/44 ,  G06V10/764 ,  G06V10/80

CPC classification number: G06V10/82 ,  G06F18/217 ,  G06F18/24133 ,  G06F18/254 ,  G06T7/0012 ,  G06T11/003 ,  G06V10/454 ,  G06V10/764 ,  G06V10/809 ,  G06T2207/10101 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30041 ,  G06V2201/03

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a final classification output for an image of eye tissue. The image is provided as input to each of one or more segmentation neural networks to obtain one or more segmentation maps of the eye tissue in the image. A respective classification input is generated from each of the segmentation maps. For each of the segmentation maps, the classification input for the segmentation map is provided as input to each of one or more classification neural networks to obtain, for each segmentation map, a respective classification output from each classification neural network. A final classification output for the image is generated from the respective classification outputs for each of the segmentation maps.

公开(公告)号：US11935232B2

公开(公告)日：2024-03-19

申请号：US17257999

申请日：2020-08-17

Applicant: Google LLC

Inventor： Jason Yim ,  Reena Kumari Chopra ,  Terry Spitz ,  Jim Huibrecht Winkens ,  Annette Ada Nkechinyere Obika ,  Trevor Back ,  Joseph R. Ledsam ,  Pearse A. Keane ,  Jeffrey De Fauw

IPC: A61B5/00 ,  G06T7/00 ,  G06T7/11 ,  G06V10/764 ,  G06V10/82

CPC classification number: G06T7/0012 ,  A61B5/4842 ,  A61B5/7275 ,  G06T7/11 ,  G06V10/764 ,  G06V10/82 ,  G06T2200/04 ,  G06T2207/10012 ,  G06T2207/10101 ,  G06T2207/20021 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30041 ,  G06V2201/03

Abstract: 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.

公开(公告)号：US20210118198A1

公开(公告)日：2021-04-22

申请号：US17114586

申请日：2020-12-08

Applicant: Google LLC

Inventor： Jeffrey De Fauw ,  Joseph R. Ledsam ,  Bernardino Romera-Paredes ,  Stanislav Nikolov ,  Nenad Tomasev ,  Samuel Blackwell ,  Harry Askham ,  Xavier Glorot ,  Balaji Lakshminarayanan ,  Trevor Back ,  Mustafa Suleyman ,  Pearse A. Keane ,  Olaf Ronneberger ,  Julien Robert Michel Cornebise

IPC: G06T11/00 ,  G06K9/62 ,  G06K9/46 ,  G06T7/00

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a final classification output for an image of eye tissue. The image is provided as input to each of one or more segmentation neural networks to obtain one or more segmentation maps of the eye tissue in the image. A respective classification input is generated from each of the segmentation maps. For each of the segmentation maps, the classification input for the segmentation map is provided as input to each of one or more classification neural networks to obtain, for each segmentation map, a respective classification output from each classification neural network. A final classification output for the image is generated from the respective classification outputs for each of the segmentation maps.