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:
Sep. 22, 2020

Filed:

Jan. 09, 2020
Applicant:

Spectral Md, Inc., Dallas, TX (US);

Inventors:

Wensheng Fan, Plano, TX (US);

John Michael DiMaio, Dallas, TX (US);

Jeffrey E. Thatcher, Irving, TX (US);

Peiran Quan, Dallas, TX (US);

Faliu Yi, Allen, TX (US);

Kevin Plant, Dallas, TX (US);

Ronald Baxter, Grand Prairie, TX (US);

Brian McCall, Dallas, TX (US);

Zhicun Gao, Plano, TX (US);

Jason Dwight, Dallas, TX (US);

Assignee:

SPECTRAL MD, INC., Dallas, TX (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06K 9/62 (2006.01); G06K 9/46 (2006.01); A61B 5/00 (2006.01); A61B 6/00 (2006.01); G06T 7/00 (2017.01); G06T 7/11 (2017.01); G16H 30/40 (2018.01); G16H 50/30 (2018.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); A61B 5/445 (2013.01); A61B 5/7275 (2013.01); G06T 7/11 (2017.01); G16H 30/40 (2018.01); G16H 50/30 (2018.01); A61B 5/0077 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30088 (2013.01); G06T 2207/30096 (2013.01);
Abstract

Machine learning systems and methods are disclosed for prediction of wound healing, such as for diabetic foot ulcers or other wounds, and for assessment implementations such as segmentation of images into wound regions and non-wound regions. Systems for assessing or predicting wound healing can include a light detection element configured to collect light of at least a first wavelength reflected from a tissue region including a wound, and one or more processors configured to generate an image based on a signal from the light detection element having pixels depicting the tissue region, determine reflectance intensity values for at least a subset of the pixels, determine one or more quantitative features of the subset of the plurality of pixels based on the reflectance intensity values, and generate a predicted or assessed healing parameter associated with the wound over a predetermined time interval.


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