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.
Patent No.:
Date of Patent:
Feb. 24, 2026
Filed:
Oct. 28, 2021
Applicant:
International Business Machines Corporation, Armonk, NY (US);
Inventors:
Yufan Guo, San Jose, CA (US);
Mehdi Moradi, San Jose, CA (US);
Assignee:
INTERNATIONAL BUSINESS MACHINES CORPORATION, Armonk, NY (US);
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/82 (2022.01); G06F 18/2413 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2023.01); G06T 11/60 (2006.01); G06V 30/10 (2022.01); G06V 30/18 (2022.01); G06V 30/19 (2022.01);
U.S. Cl.
CPC ...
G06V 10/82 (2022.01); G06F 18/24143 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06T 11/60 (2013.01); G06V 30/18057 (2022.01); G06V 30/19173 (2022.01); G06V 30/10 (2022.01); G06V 2201/03 (2022.01);
Abstract
A cross-modality neural network transform for semi-automatic medical image annotation is provided. In various embodiments, an input medical image is mapped to a first vector in a text vector space. The first vector corresponds to the features of the medical image. A set of predetermined vectors is searched for a closest one of the predetermined vectors to the first vector. From the closest one of the predetermined vectors, one or more keywords is determined describing the input medical image.