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:
Feb. 18, 2025

Filed:

Jun. 22, 2020
Applicant:

Case Western Reserve University, Cleveland, OH (US);

Inventors:

David L. Wilson, Cleveland Heights, OH (US);

Hao Wu, Cleveland Heights, OH (US);

Naomi Joseph, Cleveland, OH (US);

Chaitanya Kolluru, Cleveland Heights, OH (US);

Beth Benetz, Cleveland, OH (US);

Jonathan Lass, Cleveland, OH (US);

Assignee:

Case Western Reserve University, Cleveland, OH (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G16H 50/20 (2018.01); A61B 3/00 (2006.01); A61B 5/00 (2006.01); G06N 3/02 (2006.01); G06N 7/01 (2023.01); G06N 20/10 (2019.01); G06N 20/20 (2019.01); G06T 7/00 (2017.01); G06T 7/11 (2017.01);
U.S. Cl.
CPC ...
G16H 50/20 (2018.01); A61B 3/0025 (2013.01); A61B 5/4848 (2013.01); A61B 5/7264 (2013.01); G06N 3/02 (2013.01); G06N 7/01 (2023.01); G06N 20/10 (2019.01); G06N 20/20 (2019.01); G06T 7/0012 (2013.01); G06T 7/11 (2017.01); G06T 2207/10056 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30024 (2013.01); G06T 2207/30041 (2013.01);
Abstract

Embodiments discussed herein facilitate determining a prognosis for keratoplasty based on segmented endothelial cells. One example embodiment comprises a computer-readable medium storing computer-executable instructions that, when executed, cause a processor to perform operations, comprising: accessing an optical microscopy image comprising a set of corneal endothelial cells of a patient of a keratoplasty; segmenting, based at least in part on a first model, a plurality of corneal endothelial cells of the set of corneal endothelial cells; calculating one or more features based on the segmented plurality of corneal endothelial cells; and generating, via a second model trained based at least on the one or more features, a prognosis associated with the keratoplasty.


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