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. 03, 2019

Filed:

Mar. 27, 2018
Applicant:

Case Western Reserve University, Cleveland, OH (US);

Inventors:

Anant Madabhushi, Shaker Heights, OH (US);

Mahdi Orooji, Cleveland, OH (US);

Mirabela Rusu, Cleveland, OH (US);

Philip Linden, Pepper Pike, OH (US);

Robert Gilkeson, Cleveland Heights, OH (US);

Nathaniel Mason Braman, Cleveland, OH (US);

Assignee:

Case Western Reserve University, Cleveland, OH (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 6/00 (2006.01); G06T 11/00 (2006.01); G06K 9/46 (2006.01); G06K 9/00 (2006.01); A61B 6/03 (2006.01); A61B 5/08 (2006.01); A61B 5/055 (2006.01); A61B 5/00 (2006.01); A61B 10/00 (2006.01); G01R 33/56 (2006.01); G06K 9/62 (2006.01); G06T 7/00 (2017.01); G06T 7/40 (2017.01); G06T 7/11 (2017.01); G06T 7/136 (2017.01); G06T 7/62 (2017.01); A61B 34/10 (2016.01); A61B 6/12 (2006.01);
U.S. Cl.
CPC ...
A61B 6/5217 (2013.01); A61B 5/055 (2013.01); A61B 5/08 (2013.01); A61B 5/4312 (2013.01); A61B 5/7267 (2013.01); A61B 6/032 (2013.01); A61B 10/0041 (2013.01); G01R 33/5601 (2013.01); G06K 9/00147 (2013.01); G06K 9/46 (2013.01); G06K 9/4604 (2013.01); G06K 9/6267 (2013.01); G06T 7/0012 (2013.01); G06T 7/11 (2017.01); G06T 7/136 (2017.01); G06T 7/40 (2013.01); G06T 7/62 (2017.01); G06T 11/003 (2013.01); G06T 11/008 (2013.01); A61B 6/12 (2013.01); A61B 2034/105 (2016.02); G01R 33/5608 (2013.01); G06K 9/00 (2013.01); G06K 9/6269 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/10096 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30064 (2013.01); G06T 2207/30068 (2013.01); G06T 2207/30101 (2013.01); G06T 2211/404 (2013.01);
Abstract

Methods, apparatus, and other embodiments associated with classifying a region of tissue using textural analysis are described. One example apparatus includes an image acquisition logic that acquires an image of a region of tissue demonstrating cancerous pathology, a delineation logic that distinguishes nodule tissue within the image from the background of the image, a perinodular zone logic that defines a perinodular zone based on the nodule, a feature extraction logic that extracts a set of features from the image, a probability logic that computes a probability that the nodule is benign or that the nodule will respond to a treatment, and a classification logic that classifies the nodule tissue based, at least in part, on the set of features or the probability. A prognosis or treatment plan may be provided based on the classification of the image.


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