The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 05, 2022

Filed:

Mar. 29, 2018
Applicant:

Google Llc, Monntain View, CA (US);

Inventors:

Lily Peng, Mountain View, CA (US);

Martin Stumpe, Mountain View, CA (US);

Daniel Smilkov, Mountain View, CA (US);

Jason Hipp, Mountain View, CA (US);

Assignee:

Google LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/532 (2019.01); G06F 16/55 (2019.01); G06F 16/583 (2019.01); G06F 16/538 (2019.01); G06F 16/2457 (2019.01); G16H 30/20 (2018.01); G16H 50/20 (2018.01); G06K 9/62 (2022.01); G06V 10/75 (2022.01);
U.S. Cl.
CPC ...
G06F 16/532 (2019.01); G06F 16/24578 (2019.01); G06F 16/538 (2019.01); G06F 16/55 (2019.01); G06F 16/5854 (2019.01); G06K 9/6215 (2013.01); G16H 30/20 (2018.01); G16H 50/20 (2018.01); G06V 10/759 (2022.01); G06V 2201/03 (2022.01);
Abstract

A system for searching for similar medical images includes a reference library in the form of a multitude of medical images, at least some of which are associated with metadata including clinical information relating to the specimen or patient associated with the medical images. A computer system is configured as a search tool for receiving an input image query from a user. The computer system is trained to find one or more similar medical images in the reference library system which are similar to the input image. The reference library is represented as an embedding of each of the medical images projected in a feature space having a plurality of axes, wherein the embedding is characterized by two aspects of a similarity ranking: (1) visual similarity, and (2) semantic similarity such that neighboring images in the feature space are visually similar and semantic information is represented by the axes of the feature space. The computer system supports additional queries from a user to thereby further refine a search for medical images similar to the input image within a search space consisting of the one or more similar medical images.


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