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:
Mar. 05, 2024

Filed:

Mar. 20, 2019
Applicant:

Siemens Healthcare Gmbh, Erlangen, DE;

Inventors:

Peter Huber, Windsbach, DE;

Bernhard Krauss, Burgthann, DE;

Sebastian Schmidt, Weisendorf, DE;

Bernhard Schmidt, Fuerth, DE;

Assignee:

SIEMENS HEALTHINEERS AG, Erlangen, DE;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A61B 6/00 (2006.01); A61B 5/00 (2006.01); A61B 6/03 (2006.01); G06N 3/04 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2023.01); G06T 7/00 (2017.01); G06N 3/044 (2023.01);
U.S. Cl.
CPC ...
A61B 6/482 (2013.01); A61B 5/7267 (2013.01); A61B 6/032 (2013.01); A61B 6/4241 (2013.01); A61B 6/54 (2013.01); G06N 3/04 (2013.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06T 7/0012 (2013.01); G06N 3/044 (2023.01); G06T 2207/10081 (2013.01);
Abstract

An analysis method is for automatically determining radiological result data from radiology data sets. In an embodiment, the method includes provisioning a first radiology data set at least based on X-ray data of a first X-ray energy spectrum; provisioning at least one second radiology data set at least based on X-ray data of a second X-ray energy spectrum; provisioning an analysis unit including a neural network, to analyze radiology data sets including an input layer with a plurality of cells, a number of intermediate layers and an output layer representing a radiological result; analyzing the first radiology data set and the at least one second radiology data set, at least subsets of the first radiology data set and the at least one second radiology data set being assigned to different cells of the input layer for joint processing in the neural network; and acquiring result data on the output layer.


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