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:
Jun. 09, 2020

Filed:

Dec. 20, 2017
Applicant:

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

Inventors:

Ali Madani, Oakland, CA (US);

Mehdi Moradi, San Jose, CA (US);

Tanveer F. Syeda-Mahmood, Cupertino, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06T 7/00 (2017.01); A61B 6/00 (2006.01); G16H 10/40 (2018.01); G16H 10/60 (2018.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); A61B 6/5229 (2013.01); G06N 3/0445 (2013.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); G16H 10/40 (2018.01); G16H 10/60 (2018.01); G06T 2207/30004 (2013.01);
Abstract

Mechanisms are provided to implement a neural network, a concept extractor, and a machine learning model that operate to provide automatic contour annotation of medical images based on correlations with medical reports. The neural network processes a medical image to extract image features of the medical image. The concept extractor processes a portion of text associated with the medical image to extract concepts associated with the portion of text. The machine learning model correlates the extracted image features with the extracted concepts. An annotated medical image is generated based on the correlation of the extracted image features and extracted concepts. An annotation of the annotated medical image specifies a region of interest corresponding to both an extracted image feature and an extracted concept, thereby automatically mapping the portion of text to a relevant region of the medical image.


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