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. 08, 2025

Filed:

Sep. 28, 2018
Applicant:

Siemens Healthineers International Ag, Palo Alto, CA (US);

Inventors:

Hannu Laaksonen, Espoo, FI;

María Cordero Marcos, Espoo, FI;

Elena Czeizler, Helsinki, FI;

Janne Nord, Espoo, FI;

Sami Petri Perttu, Helsinki, FI;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2023.01); A61N 5/10 (2006.01); G16B 40/00 (2019.01); G16H 20/40 (2018.01); G16H 30/40 (2018.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); A61N 5/1031 (2013.01); A61N 5/1038 (2013.01); A61N 5/1039 (2013.01); G16B 40/00 (2019.02); G16H 20/40 (2018.01); G16H 30/40 (2018.01); A61N 2005/1041 (2013.01);
Abstract

Example methods for radiotherapy treatment planning using deep learning engines are provided. One example method may comprise obtaining first image data associated with a patient; generating first feature data by processing the first image data associated with a first resolution level using a first processing pathway; generating second feature data by processing second image data associated with a second resolution level using a second processing pathway; and generating third feature data by processing third image data associated with a third resolution level using a third processing pathway. The example method may also comprise generating a first combined set of feature data associated with the second resolution level, and a second combined set of feature data associated with the first resolution level based on the first feature data and the first combined set. Further, the example method may comprise generating output data associated with radiotherapy treatment of the patient.


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