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:
Jul. 31, 2018

Filed:

Feb. 02, 2017
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventor:

Rami Ben-Ari, Kiryat Ono, IL;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06T 7/00 (2017.01); G06T 7/11 (2017.01); G06K 9/46 (2006.01); G06K 9/66 (2006.01); G06K 9/62 (2006.01); G06T 5/00 (2006.01); G06T 7/136 (2017.01); A61B 6/00 (2006.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); A61B 6/502 (2013.01); A61B 6/5258 (2013.01); G06K 9/4604 (2013.01); G06K 9/623 (2013.01); G06K 9/6226 (2013.01); G06K 9/6277 (2013.01); G06K 9/6298 (2013.01); G06K 9/66 (2013.01); G06N 3/08 (2013.01); G06T 5/004 (2013.01); G06T 7/11 (2017.01); G06T 7/136 (2017.01); G06T 2207/20081 (2013.01); G06T 2207/30068 (2013.01); G06T 2207/30096 (2013.01);
Abstract

There is provided a method, comprising: segmenting fibroglandular tissue of a 2D mammographic image of a breast, extracting regions within the segmented fibroglandular tissue and within a boundary portion between the segmented fibroglandular tissue and non-fibroglandular tissue, computing representations for each RoI by a pre-trained deep neural network, training a classifier on the representations to compute a probability score of architectural distortion for each RoI, clustering RoIs defined as positive for architectural distortion using a mean-shift method and providing an indication of the probability of the presence of architectural distortion around a cluster based on the probability distribution of cluster RoI members, removing small clusters having fewer RoI members than a small number threshold, classifying the image as positive for the indication of architectural distortion when at least one cluster remains, or classifying the image as negative for the indication of architectural distortion when no cluster remains.


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