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:
Oct. 28, 2025

Filed:

Apr. 22, 2022
Applicant:

Siemens Healthineers Ag, Forchheim, DE;

Inventors:

Bin Lou, Princeton, NJ (US);

Zhoubing Xu, Plainsboro, NJ (US);

Ali Kamen, Skillman, NJ (US);

Sasa Grbic, Plainsboro, NJ (US);

Dorin Comaniciu, Princeton, NJ (US);

Assignee:

Siemens Healthineers AG, Forchheim, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/00 (2006.01); G06T 7/00 (2017.01); G06T 7/11 (2017.01); G06T 9/00 (2006.01); G06V 10/42 (2022.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01);
U.S. Cl.
CPC ...
G06T 7/0014 (2013.01); A61B 5/726 (2013.01); A61B 5/7267 (2013.01); A61B 5/7275 (2013.01); G06T 7/11 (2017.01); G06T 9/002 (2013.01); G06V 10/42 (2022.01); G06V 10/764 (2022.01); G06V 10/7747 (2022.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G06T 2207/10081 (2013.01); G06T 2207/20021 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30096 (2013.01);
Abstract

For prediction of response of radiation therapy, radiomics are used for unsupervised machine training of an encoder-decoder network to predict based on input of image data, such as computed tomography image data and from segmentation. The trained encoder is then used to generate latent representations to be used as input to different classifiers or regressors for prediction of therapy responses, such as one classifier to predict response for an organ at risk and another classifier to predict another type of response for the organ at risk or to predict a response for the tumor.


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