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:
Mar. 14, 2017

Filed:

Oct. 02, 2015
Applicant:

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

Inventors:

Anant Madabhushi, Shaker Heights, OH (US);

Mirabela Rusu, Cleveland, OH (US);

Mahdi Orooji, Cleveland, OH (US);

Mehdi Alilou, Cleveland, OH (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2006.01); A61B 6/00 (2006.01); A61B 6/03 (2006.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); A61B 6/032 (2013.01); A61B 6/50 (2013.01); A61B 6/5217 (2013.01); G06T 2200/04 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/30064 (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 GGO nodule pathology, a delineation logic that distinguishes GGO nodule tissue within the image from the background of the image, a texture logic that extracts a set of texture features from the image, a phenotype signature logic that computes a phenotypic signature from the image, a shape logic that extracts a set of shape features from the image, and a classification logic that classifies the GGO nodule tissue based, at least in part, on the set of texture features, the phenotypic signature, or the set of shape features. A prognosis for a patient may be provided based on the classification of the image.


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