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:
Mar. 12, 2024

Filed:

Sep. 03, 2019
Applicant:

The Brigham and Women's Hospital, Inc., Boston, MA (US);

Inventors:

Hadi Shafiee, Boston, MA (US);

Manoj Kumar Kanakasabapathy, Boston, MA (US);

Prudhvi Thirumalaraju, Watertown, MA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2022.01); C12M 3/06 (2006.01); G01N 15/10 (2006.01); G06F 18/2431 (2023.01); G06T 5/30 (2006.01); G06T 7/00 (2017.01); G06T 7/11 (2017.01); G06T 7/136 (2017.01); G06T 7/73 (2017.01); G06V 10/34 (2022.01); G06V 10/80 (2022.01); G06V 20/69 (2022.01); H04N 23/55 (2023.01); H04N 23/56 (2023.01);
U.S. Cl.
CPC ...
C12M 23/16 (2013.01); G01N 15/1056 (2013.01); G06F 18/2431 (2023.01); G06T 5/30 (2013.01); G06T 7/0012 (2013.01); G06T 7/11 (2017.01); G06T 7/136 (2017.01); G06T 7/74 (2017.01); G06V 10/34 (2022.01); G06V 10/809 (2022.01); G06V 20/695 (2022.01); G06V 20/698 (2022.01); H04N 23/55 (2023.01); H04N 23/56 (2023.01); G01N 2015/1006 (2013.01); G06T 2207/10056 (2013.01); G06T 2207/20076 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

Systems and methods are provided for provided for automatic evaluation of sperm morphology. An image of a semen sample is obtained, and at least a portion of the image is provided to a convolutional neural network classifier. The convolutional neural network classifier evaluates the portion of the image to assign to the portion of the image a set of likelihoods that the portion of the image belongs to a plurality of output classes representing the morphology of sperm within the portion of the image. A metric is assigned to the semen sample based on the likelihoods assigned by the convolutional neural network.


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