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:
Jun. 23, 2026

Filed:

Apr. 25, 2024
Applicant:

Genentech, Inc., South San Francisco, CA (US);

Inventors:

Seyed Mohammadmohsen Hejrati, Stanford, CA (US);

Heming Yao, Ann Arbor, MI (US);

Miao Zhang, Foster City, CA (US);

Assignee:

Genentech, Inc., South San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 3/12 (2006.01); A61B 3/00 (2006.01); A61B 3/10 (2006.01); A61B 5/00 (2006.01); G16H 50/30 (2018.01);
U.S. Cl.
CPC ...
A61B 3/1225 (2013.01); A61B 3/0025 (2013.01); A61B 3/102 (2013.01); A61B 5/7267 (2013.01); G16H 50/30 (2018.01); A61B 2576/02 (2013.01);
Abstract

Systems and methods for determining the health status of a retina of a subject. An optical coherence tomography (OCT) volume image of a retina of a subject may be received. A health indication output is generated, via a deep learning model, using the OCT volume image. The health indication output indicates a level of association between the OCT volume image and a selected health status category for the retina. A map output for the deep learning model is generated using a saliency mapping algorithm, generating a map output for the deep learning model using a saliency mapping algorithm. The map output indicates a level of contribution of a set of regions in the OCT volume image to the health indication output generated by the deep learning model.


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