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:
Feb. 02, 2021

Filed:

Dec. 01, 2019
Applicant:

Tel Hashomer Medical Research, Infrastructure and Services Ltd., Ramat Gan, IL;

Inventors:

Miriam Sklair-Levy, Mevasseret Zion, IL;

Arnaldo Mayer, Ramat Hasharon, IL;

Shmuel Yitzhak Pfeffer, Lod, IL;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
A61B 6/00 (2006.01); G06T 7/00 (2017.01); G06T 7/40 (2017.01); G06K 9/50 (2006.01); G06K 9/48 (2006.01); G06K 9/46 (2006.01); G06T 7/11 (2017.01); G06T 7/13 (2017.01); A61B 6/04 (2006.01); G06T 7/44 (2017.01); A61B 6/12 (2006.01);
U.S. Cl.
CPC ...
A61B 6/502 (2013.01); A61B 6/0414 (2013.01); A61B 6/0435 (2013.01); A61B 6/481 (2013.01); A61B 6/5205 (2013.01); G06K 9/4642 (2013.01); G06K 9/48 (2013.01); G06K 9/50 (2013.01); G06T 7/0012 (2013.01); G06T 7/11 (2017.01); G06T 7/13 (2017.01); G06T 7/44 (2017.01); A61B 6/12 (2013.01); G06K 2209/05 (2013.01); G06T 2207/10116 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30068 (2013.01);
Abstract

Apparatus for diagnosing breast cancer, the apparatus comprising a controller having a set of instructions executable to: acquire a contrast enhanced region of interest (CE-ROI) in an X-ray image of a patient's breast, the X-ray image comprising X-ray pixels that indicate intensity of X-rays that passed through the breast to generate the image; determine a texture neighborhood for each of a plurality of X-ray pixels in the CE-ROI, the texture neighborhood for a given X-ray pixel of the plurality of X-ray pixels extending to a bounding pixel radius of BPR pixels from the given pixel; generate a texture feature vector (TF) having components based on the indications of intensity provided by a plurality of X-ray pixels in the CE-ROI that are located within the texture neighborhood; and use a classifier to classify the texture feature vector TF to determine whether the CE-ROI is malignant.


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