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:
Oct. 01, 2024

Filed:

Nov. 12, 2021
Applicant:

Siemens Healthineers Ag, Frochheim, DE;

Inventors:

Florin-Cristian Ghesu, Baiersdori, DE;

Bogdan Georgescu, Princeton, NJ (US);

Awais Mansoor, Potomac, MD (US);

Sasa Grbic, Plainsboro, NJ (US);

Dorin Comaniciu, Princeton, NJ (US);

Assignee:

Siemens Healthineers AG, Forchheim, DE;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06V 10/774 (2022.01); G06V 10/82 (2022.01); G16H 30/40 (2018.01);
U.S. Cl.
CPC ...
G06V 10/7747 (2022.01); G06V 10/82 (2022.01); G16H 30/40 (2018.01);
Abstract

Systems and methods for training an artificial intelligence-based system using self-supervised learning are provided. For each respective training medical image of a set of unannotated training medical images, the following steps are performed. A first augmented image is generated by applying a first augmentation operation to the respective training medical image. A second augmented image is generated by applying a second augmentation operation to the respective training medical image. A first representation vector is created from the first augmented image using an encoder network. A second representation vector is created from the second augmented image using the encoder network. The first representation vector is mapped to first cluster codes. The second representation vector is mapped to second cluster codes. The encoder network is optimized using the first and second representation vectors and the first and second cluster codes.


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