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:
Nov. 03, 2015

Filed:

Mar. 26, 2014
Applicant:

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

Inventors:

Anant Madabhushi, Beachwood, OH (US);

Haibo Wang, Binzhau, CN;

Assignee:

Other;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06F 19/00 (2011.01); G06T 7/00 (2006.01); G01R 33/56 (2006.01); G06K 9/46 (2006.01); G06K 9/62 (2006.01);
U.S. Cl.
CPC ...
G06F 19/321 (2013.01); G01R 33/5608 (2013.01); G06F 19/3431 (2013.01); G06K 9/0014 (2013.01); G06K 9/00147 (2013.01); G06K 9/4671 (2013.01); G06K 9/6256 (2013.01); G06T 7/0014 (2013.01); G06T 7/0032 (2013.01); G06T 7/0083 (2013.01); G06T 7/0087 (2013.01); G06T 2207/30081 (2013.01);
Abstract

Apparatus and methods associated with detecting prostate cancer (CaP) in a magnetic resonance (MR) image of a prostate of a CaP patient are described. One example apparatus includes logics that acquire an image of a prostate, learn a weighted vector, detect salient features in the image of the prostate, and generate a heatmap that facilitates detecting CaP. An image acquisition logic acquires a T2 weighted MR image of a prostate. A learning logic learns a weighted vector based on a set of positive LBP descriptors and a set of negative LBP descriptors extracted from the image at multiple scales. A salient feature detection logic detects salient features in the image based on the weighted vector and a pixel-by-pixel weighted Hamming matching of the image. A prediction logic generates a statistical probability heatmap based on the weighted vector and the weighted Hamming matching of the image.


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