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:
Dec. 14, 2021

Filed:

Jul. 24, 2018
Applicants:

National University of Singapore, Singapore, SG;

Singapore Health Services Pte Ltd, Singaopre, SG;

Inventors:

Wynne Hsu, Singapore, SG;

Mong Li Lee, Singapore, SG;

Gilbert Lim, Singapore, SG;

Tien Yin Wong, Singapore, SG;

Shu Wei Daniel Ting, Singapore, SG;

Assignees:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06T 11/00 (2006.01); A61B 3/00 (2006.01); A61B 3/12 (2006.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01); G06T 7/00 (2017.01); G06T 11/40 (2006.01);
U.S. Cl.
CPC ...
G06T 11/001 (2013.01); A61B 3/0025 (2013.01); A61B 3/12 (2013.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G06T 7/0014 (2013.01); G06T 11/40 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30041 (2013.01); G06T 2210/41 (2013.01);
Abstract

A method of modifying a retina fundus image for a deep learning model is disclosed. In a described embodiment, the method includes converting a retina fundus image to a binary image by converting pixels of the retina fundus image to low intensity modified pixels and high intensity modified pixels of the binary image, and determining a first boundary between the low intensity modified pixels and high intensity modified pixels of the binary image. The method further includes removing outlier boundary values from the first boundary, constructing a second boundary from remaining boundary values, identifying the pixels of the retina fundus image that are within the second boundary, and constructing a modified retina fundus image containing the identified pixels for a deep learning model.


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