公开(公告)号：US12210564B2

公开(公告)日：2025-01-28

申请号：US18454884

申请日：2023-08-24

Applicant: Google LLC

Inventor： Anna Majkowska ,  Cristian Tapus

IPC: G06F16/53 ,  G06F16/532 ,  G06N20/00

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for query categorization based on image results. In one aspect, a method includes receiving images from image results responsive to a query, wherein each of the images is associated with an order in the image results and respective user behavior data for the image as a search result for the first query, and associating one or more of the first images with a plurality of annotations based on analysis of the selected first images' content.

公开(公告)号：US20250124076A1

公开(公告)日：2025-04-17

申请号：US18999965

申请日：2024-12-23

Applicant: Google LLC

Inventor： Anna Majkowska ,  Cristian Tapus

IPC: G06F16/532 ,  G06N20/00

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for query categorization based on image results. In one aspect, a method includes receiving images from image results responsive to a query, wherein each of the images is associated with an order in the image results and respective user behavior data for the image as a search result for the first query, and associating one or more of the first images with a plurality of annotations based on analysis of the selected first images' content.

公开(公告)号：US20220384042A1

公开(公告)日：2022-12-01

申请号：US17775139

申请日：2020-10-13

Applicant: Google LLC

Inventor： Andrew Beckmann Sellergren ,  Shravya Ramash Shetty ,  Siddhant Mittal ,  David Francis Steiner ,  Anna Majkowska ,  Gavin Elliott Duggan

IPC: G16H50/20 ,  G16H30/20

Abstract: The present disclosure provides systems and methods for training and/or employing machine-learned models (e.g., artificial neural networks) to diagnose chest conditions such as, as examples, pneumothorax, opacity, nodules or masses, and/or fractures based on chest radiographs. For example, one or more machine-learned models can receive and process a chest radiograph to generate an output. The output can indicate, for each of one or more chest conditions, whether the chest radiograph depicts the chest conditions (e.g., with some measure of confidence). The output of the machine-learned models can be provided to a medical professional and/or patient for use in providing treatment to the patient (e.g., to treat a detected condition).

公开(公告)号：US20220215049A1

公开(公告)日：2022-07-07

申请号：US17705478

申请日：2022-03-28

Applicant: Google LLC

Inventor： Anna Majkowska ,  Cristian Tapus

IPC: G06F16/532

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for query categorization based on image results. In one aspect, a method includes receiving images from image results responsive to a query, wherein each of the images is associated with an order in the image results and respective user behavior data for the image as a search result for the first query, and associating one or more of the first images with a plurality of annotations based on analysis of the selected first images' content.

公开(公告)号：US20230401251A1

公开(公告)日：2023-12-14

申请号：US18454884

申请日：2023-08-24

Applicant: Google LLC

Inventor： Anna Majkowska ,  Cristian Tapus

IPC: G06F16/532

CPC classification number: G06F16/532 ,  G06N20/00

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for query categorization based on image results. In one aspect, a method includes receiving images from image results responsive to a query, wherein each of the images is associated with an order in the image results and respective user behavior data for the image as a search result for the first query, and associating one or more of the first images with a plurality of annotations based on analysis of the selected first images' content.

公开(公告)号：US11782970B2

公开(公告)日：2023-10-10

申请号：US17705478

申请日：2022-03-28

Applicant: Google LLC

Inventor： Anna Majkowska ,  Cristian Tapus

IPC: G06F16/53 ,  G06F16/532 ,  G06N20/00

CPC classification number: G06F16/532 ,  G06N20/00

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for query categorization based on image results. In one aspect, a method includes receiving images from image results responsive to a query, wherein each of the images is associated with an order in the image results and respective user behavior data for the image as a search result for the first query, and associating one or more of the first images with a plurality of annotations based on analysis of the selected first images' content.

公开(公告)号：US11308149B2

公开(公告)日：2022-04-19

申请号：US15803215

申请日：2017-11-03

Applicant: Google LLC

Inventor： Anna Majkowska ,  Cristian Tapus

IPC: G06F16/53 ,  G06F16/532 ,  G06N20/00

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for query categorization based on image results. In one aspect, a method includes receiving images from image results responsive to a query, wherein each of the images is associated with an order in the image results and respective user behavior data for the image as a search result for the first query, and associating one or more of the first images with a plurality of annotations based on analysis of the selected first images' content.

公开(公告)号：US20180060360A1

公开(公告)日：2018-03-01

申请号：US15803215

申请日：2017-11-03

Applicant: Google LLC

Inventor： Anna Majkowska ,  Cristian Tapus

IPC: G06F17/30 ,  G06N99/00

CPC classification number: G06F16/532 ,  G06N20/00

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for query categorization based on image results. In one aspect, a method includes receiving images from image results responsive to a query, wherein each of the images is associated with an order in the image results and respective user behavior data for the image as a search result for the first query, and associating one or more of the first images with a plurality of annotations based on analysis of the selected first images' content.