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:
Jul. 09, 2024

Filed:

Dec. 21, 2021
Applicant:

Siemens Healthineers International Ag, Steinhausen, CH;

Inventors:

Hannu Laaksonen, Espoo, FI;

Janne Nord, Espoo, FI;

Jan Schreier, Helsinki, FI;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/11 (2017.01); G06N 3/08 (2023.01); G06T 7/00 (2017.01); G06V 10/25 (2022.01); G06V 10/82 (2022.01); A61N 5/10 (2006.01); G06T 7/174 (2017.01); G06V 10/44 (2022.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); G06N 3/08 (2013.01); G06T 7/11 (2017.01); G06V 10/25 (2022.01); G06V 10/82 (2022.01); A61N 5/1047 (2013.01); G06T 7/174 (2017.01); G06T 2207/10072 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20221 (2013.01); G06T 2207/30096 (2013.01); G06V 10/454 (2022.01);
Abstract

One or more medical images of a patient are processed by a first neural network model to determine a region-of-interest (ROI) or a cut-off plane. Information from the first neural network model is used to crop the medical images, which serves as input to a second neural network model. The second neural network model processes the cropped medical images to determine contours of anatomical structures in the medical images of the patient. Each of the first and second neural network models are deep neural network models. By use of cropped images in the training and inference phases of the second neural network model, contours are produced with sharp edges or flat surfaces.


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