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. 01, 2022

Filed:

Feb. 22, 2019
Applicant:

University of Louisville Research Foundation, Inc., Louisville, KY (US);

Inventors:

Ayman S. El-Baz, Louisville, KY (US);

Amy Dwyer, Goshen, KY (US);

Ahmed Soliman, Louisville, KY (US);

Mohamed Shehata, Louisville, KY (US);

Hisham Abdeltawab, Louisville, KY (US);

Fahmi Khalifa, Louisville, KY (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G16H 30/40 (2018.01); G06T 7/143 (2017.01); G06T 7/12 (2017.01); G06T 7/33 (2017.01); G06T 7/00 (2017.01); G16H 30/20 (2018.01); G16H 50/20 (2018.01); A61B 5/20 (2006.01); A61B 5/026 (2006.01); A61B 5/00 (2006.01); A61B 5/0295 (2006.01); G16H 50/30 (2018.01); A61B 5/145 (2006.01);
U.S. Cl.
CPC ...
G16H 30/40 (2018.01); A61B 5/0261 (2013.01); A61B 5/0295 (2013.01); A61B 5/201 (2013.01); A61B 5/4848 (2013.01); A61B 5/7264 (2013.01); G06T 7/0012 (2013.01); G06T 7/12 (2017.01); G06T 7/143 (2017.01); G06T 7/33 (2017.01); G16H 30/20 (2018.01); G16H 50/20 (2018.01); A61B 5/14546 (2013.01); A61B 2505/05 (2013.01); A61B 2576/02 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/10096 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30084 (2013.01); G16H 50/30 (2018.01);
Abstract

A computer aided diagnostic system and automated method to classify a kidney utilizes medical image data and clinical biomarkers in evaluation of kidney function pre- and post-transplantation. The system receives image data from a medical scan that includes image data of a kidney, then segments kidney image data from other image data of the medical scan. The kidney is then classified by analyzing at least one feature determined from the kidney image data and the at least one clinical biomarker.


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