公开(公告)号：US11361435B2

公开(公告)日：2022-06-14

申请号：US16835152

申请日：2020-03-30

Applicant: Google LLC

Inventor： Christopher Semturs ,  Dale R. Webster ,  Avinash Vaidyanathan Varadarajan ,  Akinori Mitani ,  Lily Hao Yi Peng

IPC: G06K9/00 ,  G06T7/00 ,  G16H10/60 ,  G06N3/04

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing fundus images using fundus image processing machine learning models.

公开(公告)号：US11823385B2

公开(公告)日：2023-11-21

申请号：US17838971

申请日：2022-06-13

Applicant: Google LLC

Inventor： Christopher Semturs ,  Dale R. Webster ,  Avinash Vaidyanathan Varadarajan ,  Akinori Mitani ,  Lily Hao Yi Peng

IPC: G06K9/00 ,  G06T7/00 ,  G16H10/60 ,  G06N3/04

CPC classification number: G06T7/0012 ,  G06N3/04 ,  G16H10/60 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30101

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing fundus images using fundus image processing machine learning models.

公开(公告)号：US20200311933A1

公开(公告)日：2020-10-01

申请号：US16835152

申请日：2020-03-30

Applicant: Google LLC

Inventor： Christopher Semturs ,  Dale R. Webster ,  Avinash Vaidyanathan Varadarajan ,  Akinori Mitani ,  Lily Hao Yi Peng

IPC: G06T7/00 ,  G16H10/60 ,  G06N3/04

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing fundus images using fundus image processing machine learning models.

公开(公告)号：US20240428937A1

公开(公告)日：2024-12-26

申请号：US18338003

申请日：2023-06-20

Applicant: Google LLC

Inventor： Vivek Natarajan ,  Karan Singhal ,  Shekoofeh Azizi ,  Alan Prasana Karthikesalingam ,  Tao Tu ,  Seyedeh Sara Mahdavi ,  Christopher Semturs

IPC: G16H50/20

Abstract: An aspect of the present disclosure provides an example method comprising: receiving an input query associated with a particular task domain of a plurality of available task domains; obtaining a machine-learned prompt component and a curated prompt component, wherein the machine-learned prompt component comprises a plurality of machine-learned prompt values for the plurality of available task domains, and wherein the curated prompt component comprises a plurality of exemplar prompt values corresponding to one or more embedded natural language exemplars for the particular task domain from domain experts; and generating an output responsive to the input query by processing a combined prompt and the input query using a pre-trained machine-learned model, wherein the combined prompt comprises the machine-learned prompt component and the curated prompt component.

公开(公告)号：US20220309665A1

公开(公告)日：2022-09-29

申请号：US17838971

申请日：2022-06-13

Applicant: Google LLC

Inventor： Christopher Semturs ,  Dale R. Webster ,  Avinash Vaidyanathan Varadarajan ,  Akinori Mitani ,  Lily Hao Yi Peng

IPC: G06T7/00 ,  G16H10/60 ,  G06N3/04

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing fundus images using fundus image processing machine learning models.