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:
Oct. 15, 2024

Filed:

Nov. 19, 2021
Applicants:

Shenzhen Sibionics Technology Co., Ltd., Shenzhen, CN;

Shenzhen Sibright Technology Co., Ltd., Shenzhen, CN;

Inventors:

Juan Wang, Shenzhen, CN;

Bin Xia, Shenzhen, CN;

Yujing Bai, Shenzhen, CN;

Xiaoxin Li, Shenzhen, CN;

Zhigang Hu, Shenzhen, CN;

Yu Zhao, Shenzhen, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 3/40 (2024.01); A61B 3/12 (2006.01); G06T 7/00 (2017.01); G06V 10/70 (2022.01); G06V 10/764 (2022.01); G06V 10/80 (2022.01); G06V 10/82 (2022.01); G06V 40/18 (2022.01); G16H 50/20 (2018.01);
U.S. Cl.
CPC ...
A61B 3/1208 (2013.01); G06T 3/40 (2013.01); G06T 7/0014 (2013.01); G06V 10/764 (2022.01); G06V 10/811 (2022.01); G06V 10/82 (2022.01); G06V 10/87 (2022.01); G06V 40/193 (2022.01); G06V 40/197 (2022.01); G16H 50/20 (2018.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30041 (2013.01); G06T 2207/30096 (2013.01);
Abstract

Some embodiments of the disclosure provide a diabetic retinopathy recognition system (S) based on fundus image. According to an embodiment, the system includes an image acquisition apparatus () configured to collect fundus images. The fundus images include target fundus images and reference fundus images taken from a person. The system further includes an automatic recognition apparatus () configured to process the fundus images from the image acquisition apparatus by using a deep learning method. The automatic recognition apparatus automatically determines whether a fundus image has a lesion and outputs the diagnostic result. According to another embodiment, the diabetic retinopathy recognition system (S) utilizes a deep learning method to automatically determine the fundus images and output the diagnostic result.


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