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:
Aug. 20, 2024

Filed:

Oct. 14, 2021
Applicant:

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

Inventor:

Fang-Yao Hu, South San Francisco, CA (US);

Assignee:

GENENTECH, INC., South San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); A61B 5/00 (2006.01); G06N 3/08 (2023.01); G06V 10/25 (2022.01); G06V 10/94 (2022.01); G06V 20/69 (2022.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); G16H 50/70 (2018.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); A61B 5/4325 (2013.01); A61B 5/4845 (2013.01); A61B 5/4848 (2013.01); G06N 3/08 (2013.01); G06V 10/25 (2022.01); G06V 10/95 (2022.01); G06V 20/693 (2022.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); G16H 50/70 (2018.01); G06T 2207/30024 (2013.01); G06T 2207/30242 (2013.01); G06V 2201/031 (2022.01);
Abstract

The present disclosure relates to a deep learning neural network that can identify corpora lutea in the ovaries and a rules-based technique that can count the corpora lutea identified in the ovaries and infer an ovarian toxicity of a compound based on the count of the corpora lutea (CL). Particularly, aspects of the present disclosure are directed to obtaining a set of images of tissue slices from ovaries treated with an amount of a compound; generating, using a neural network model, the set of images with a bounding box around objects that are identified as the CL within the set of images based on coordinates predicted for the bounding box; counting the bounding boxes within the set of images to obtain a CL count for the ovaries; and determining an ovarian toxicity of the compound at the amount based on the CL count.


Find Patent Forward Citations

Hu, Fang-Yao. (2024). Ovarian toxicity assessment in histopathological images using deep learning (U.S. Patent No. 12067716). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12067716

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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