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. 03, 2020

Filed:

Jan. 30, 2018
Applicant:

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

Inventors:

Guy Amit, Ganei Tikva, IL;

Omer Hadad, Ramat Gan, IL;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 6/00 (2006.01); G06K 9/00 (2006.01); G06T 7/00 (2017.01); G06N 3/08 (2006.01); G16H 30/20 (2018.01); A61B 10/00 (2006.01); A61B 5/055 (2006.01); G06F 17/18 (2006.01);
U.S. Cl.
CPC ...
G06T 7/0016 (2013.01); A61B 5/055 (2013.01); A61B 10/0041 (2013.01); G06N 3/08 (2013.01); G16H 30/20 (2018.01); G06F 17/18 (2013.01); G06T 2207/10096 (2013.01); G06T 2207/20016 (2013.01); G06T 2207/20076 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30068 (2013.01);
Abstract

A method for detecting an indication of likelihood of malignancy, comprising: receiving a sequence of anatomical images of a breast of a target individual acquired over a time interval during which contrast is administered, analyzing the sequence of anatomical images to identify: a baseline pre-contrast image denoting lack of contrast, a peak contrast image denoting a peak contrast enhancement, an initial uptake image denoting initial contrast enhancement, and a delayed response image denoting final contrast enhancement, creating a multi-channel image representation comprising: intensity channel including the peak contrast enhanced image, contrast-update channel including the computed difference between the peak contrast enhanced image and the pre-contrast image, and contrast-washout channel including the computed difference between the initial uptake image and the delayed response image, and computing by a trained deep convolutional neural network, a classification category indicative of likelihood of malignancy for the sequence according to the multi-channel image representation.


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