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:
Jan. 29, 2019

Filed:

Jul. 20, 2016
Applicant:

The Board of Regents of the University of Texas System, Austin, TX (US);

Inventors:

Sos S. Agaian, San Antonio, TX (US);

Clara M. Mosquera Lopez, San Antonio, TX (US);

Ali Almuntashri, San Antonio, TX (US);

Richard Metzler, San Antonio, TX (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G16H 50/30 (2018.01); G16H 50/70 (2018.01); G16H 50/20 (2018.01); A61B 5/00 (2006.01); G01N 15/14 (2006.01); G06T 7/00 (2017.01); G06T 7/13 (2017.01); G06T 7/181 (2017.01); G06T 7/90 (2017.01); G06F 19/00 (2018.01); G06K 9/46 (2006.01); G06K 9/62 (2006.01); G06T 5/00 (2006.01); G06T 5/20 (2006.01); A61B 10/02 (2006.01);
U.S. Cl.
CPC ...
G06K 9/0014 (2013.01); A61B 5/4381 (2013.01); A61B 5/7203 (2013.01); A61B 5/725 (2013.01); A61B 5/726 (2013.01); A61B 5/7257 (2013.01); A61B 5/7267 (2013.01); G01N 15/1475 (2013.01); G06F 19/00 (2013.01); G06F 19/321 (2013.01); G06K 9/00127 (2013.01); G06K 9/00147 (2013.01); G06K 9/46 (2013.01); G06K 9/6228 (2013.01); G06T 5/002 (2013.01); G06T 5/20 (2013.01); G06T 7/0012 (2013.01); G06T 7/13 (2017.01); G06T 7/181 (2017.01); G06T 7/90 (2017.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); G16H 50/70 (2018.01); A61B 10/0241 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/10056 (2013.01); G06T 2207/20036 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30024 (2013.01); G06T 2207/30081 (2013.01); G06T 2207/30096 (2013.01);
Abstract

Systems and methods for detection, grading, scoring and tele-screening of cancerous lesions are described. A complete scheme for automated quantitative analysis and assessment of human and animal tissue images of several types of cancers is presented. Various aspects of the invention are directed to the detection, grading, prediction and staging of prostate cancer on serial sections/slides of prostate core images, or biopsy images. Accordingly, the invention includes a variety of sub-systems, which could be used separately or in conjunction to automatically grade cancerous regions. Each system utilizes a different approach with a different feature set. For instance, in the quantitative analysis, textural-based and morphology-based features may be extracted at image- and (or) object-levels from regions of interest.


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