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. 07, 2020

Filed:

Sep. 19, 2018
Applicant:

Siemens Healthcare Gmbh, Erlangen, DE;

Inventor:

Olivier Pauly, Munich, DE;

Assignee:

SIEMENS HEALTHCARE GMBH, Erlangen, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); A61B 6/00 (2006.01); A61B 6/02 (2006.01); G06T 3/00 (2006.01); G06T 7/00 (2017.01); G06T 15/08 (2011.01); G06T 11/00 (2006.01); G06T 7/62 (2017.01); G06T 7/11 (2017.01);
U.S. Cl.
CPC ...
A61B 6/502 (2013.01); A61B 6/025 (2013.01); G06T 3/0031 (2013.01); G06T 7/0012 (2013.01); G06T 15/08 (2013.01); G06T 7/11 (2017.01); G06T 7/62 (2017.01); G06T 11/003 (2013.01); G06T 2200/04 (2013.01); G06T 2207/10072 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/10112 (2013.01); G06T 2207/20076 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30068 (2013.01); G06T 2207/30096 (2013.01); G06T 2210/41 (2013.01);
Abstract

A method is for determining a two-dimensional mammography dataset. The method includes the receipt of a three-dimensional mammography dataset of an examination region via an interface. The method furthermore includes the first determination of a two-dimensional mammography dataset of the examination region by application of a trained generator function to the three-dimensional mammography dataset via a processing unit, wherein the trained generator function is based on a trained GA network. Through this method, it is possible efficiently to create two-dimensional mammography datasets, which are visually similar to real two-dimensional mammography datasets and can therefore be appraised with standardized methods.


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