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. 22, 2021

Filed:

Aug. 10, 2020
Applicant:

Rutgers, the State University of New Jersey, New Brunswick, NJ (US);

Inventors:

Christine I. Podilchuk, Warren, NJ (US);

Richard Mammone, Warren, NJ (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G16H 30/40 (2018.01); A61B 5/00 (2006.01); A61B 8/08 (2006.01); G06T 7/00 (2017.01); G16H 30/20 (2018.01); G16H 50/20 (2018.01); G06K 9/32 (2006.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G16H 30/40 (2018.01); A61B 5/7267 (2013.01); A61B 8/5223 (2013.01); G06K 9/3233 (2013.01); G06N 3/08 (2013.01); G06T 7/0012 (2013.01); G16H 30/20 (2018.01); G16H 50/20 (2018.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

A device to detect an object in a medical image is described. An image analysis application, executed by the device, receives the medical image as an input. The medical image is next partitioned to sub-regions. Parts of the object are detected in a selection of the sub-regions using a deep-learning neural network (DNN) model. Bounding boxes for the selection are also determined. The bounding boxes are evaluated based on a confidence score detected as above a threshold level. The confidence score designates the parts as contained within the selection. Next, a region of interest (ROI) is determined as a group including the selection. Similar orientations associated with the bounding boxes are comparable to similar orientations of a positive training model of the DNN model. Furthermore, the selection is designated as the ROI within the medical image. The medical image is provided with the ROI to a user.


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