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:
Dec. 07, 2021

Filed:

Jun. 08, 2018
Applicant:

The United States of America, As Represented BY the Secretary, Department of Health and Human Services, Bethesda, MD (US);

Inventors:

Adam Patrick Harrison, Bethesda, MD (US);

Ziyue Xu, Reston, VA (US);

Le Lu, Poolesville, MD (US);

Ronald M. Summers, Potomac, MD (US);

Daniel Joseph Mollura, Chevy Chase, MD (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16H 50/50 (2018.01); G16H 30/40 (2018.01); A61B 5/00 (2006.01); A61B 6/03 (2006.01); A61B 6/00 (2006.01); G06N 3/04 (2006.01); G06T 7/00 (2017.01); G06T 7/174 (2017.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G06T 7/0016 (2013.01); A61B 5/7267 (2013.01); A61B 6/032 (2013.01); A61B 6/50 (2013.01); G06N 3/0454 (2013.01); G06N 3/0481 (2013.01); G06N 3/084 (2013.01); G06T 7/174 (2017.01); G16H 30/40 (2018.01); G16H 50/50 (2018.01); G06T 2207/10081 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30061 (2013.01);
Abstract

Methods include processing image data through a plurality of network stages of a progressively holistically nested convolutional neural network, wherein the processing the image data includes producing a side output from a network stage m, of the network stages, where m>1, based on a progressive combination of an activation output from the network stage m and an activation output from a preceding stage m−1. Image segmentations are produced. Systems include a 3D imaging system operable to obtain 3D imaging data for a patient including a target anatomical body, and a computing system comprising a processor, memory, and software, the computing system operable to process the 3D imaging data through a plurality of progressively holistically nested convolutional neural network stages of a convolutional neural network.


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