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:
Jul. 15, 2025

Filed:

Aug. 26, 2022
Applicant:

The Chinese University of Hong Kong, Hong Kong, CN;

Inventors:

Yim Lui Carol Cheung, Hong Kong, CN;

Pheng Ann Heng, Hong Kong, CN;

Fangyao Tang, Hong Kong, CN;

Xi Wang, Hong Kong, CN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/82 (2022.01); G06T 7/00 (2017.01); G06V 10/764 (2022.01); G06V 10/77 (2022.01);
U.S. Cl.
CPC ...
G06V 10/82 (2022.01); G06T 7/0012 (2013.01); G06V 10/764 (2022.01); G06V 10/7715 (2022.01); G06T 2207/10101 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30041 (2013.01);
Abstract

A deep-learning method and systems for analyzing optical coherence tomography (OCT) images based on a convolutional neural network are provided. The method includes extracting a feature from one or more three-dimensional OCT volumetric scan images and classifying the OCT images with respect to diabetic macular edema (DME) based on results the feature extracted. The step of extracting a feature from one or more three-dimensional OCT volumetric scan images is performed by a neural network such as a neural network based on a ResNet-34 architecture. The method can further include extracting a feature from one or more two-dimensional (2D) OCT B-scan images and classifying the OCT images with respect to DME based on results of the 2D feature extracted. The step of extracting a feature from one or more 2D OCT B-scan images is performed by a neural network such as a neural network based on a ResNet-18 architecture.


Find Patent Forward Citations

Loading…