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:
Jan. 08, 2019

Filed:

Jul. 18, 2016
Applicant:

Siemens Healthcare Gmbh, Erlangen, DE;

Inventor:

Olivier Pauly, München, DE;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06T 7/00 (2017.01); G06F 17/30 (2006.01); G06K 9/62 (2006.01); G06K 9/66 (2006.01); G06N 99/00 (2010.01); G06T 9/00 (2006.01); G16H 50/20 (2018.01); G06F 19/00 (2018.01);
U.S. Cl.
CPC ...
G06T 7/0014 (2013.01); G06F 17/3028 (2013.01); G06F 19/00 (2013.01); G06K 9/6215 (2013.01); G06K 9/6256 (2013.01); G06K 9/6269 (2013.01); G06K 9/66 (2013.01); G06N 99/005 (2013.01); G06T 9/00 (2013.01); G06T 9/002 (2013.01); G16H 50/20 (2018.01); G06K 2209/05 (2013.01); G06K 2209/051 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30012 (2013.01);
Abstract

A first interface for reading a medical patient image record is provided. Furthermore, provision is made of an encoding module for machine-based learning of data encodings of image patterns by an unsupervised deep learning and for establishing a deep-learning-reduced data encoding of a patient image pattern contained in the patient image record. Furthermore, provision is made of a comparison module for comparing the established data encoding with reference encodings of reference image patterns stored in a database and for selecting a reference image pattern with a reference encoding which is similar to the established data encoding. An assignment module serves to establish a key term assigned to the selected reference image pattern and to assign the established key term to the patient image pattern. A second interface is provided for outputting the established key term with assignment to the patient image pattern.


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