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:
Aug. 24, 2021

Filed:

Aug. 07, 2019
Applicant:

Siemens Healthcare Gmbh, Erlangen, DE;

Inventors:

Sven Kohle, Erlangen, DE;

Christian Tietjen, Fuerth, DE;

Gerardo Hermosillo Valadez, West Chester, PA (US);

Shu Liao, Chester Springs, PA (US);

Felix Ritter, Bremen, DE;

Jan Kretschmer, Nuremberg, DE;

Assignee:

Siemens Healthcare GmbH, Erlangen, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G06K 9/40 (2006.01);
U.S. Cl.
CPC ...
G16H 30/40 (2018.01); G06K 9/40 (2013.01); G06K 9/6202 (2013.01); G06K 9/6215 (2013.01); G16H 50/20 (2018.01); G06K 2209/05 (2013.01);
Abstract

A method and system are for identification of at least one medical reference image. An embodiment of the method includes providing a medical representation image based on a current examination image depicting a body part of a first patient; defining a region of interest in the medical representation image; generating a feature signature, at least for the region of interest; comparing the medical representation image with a plurality of medical images of at least one second patient stored in a medical image database, based on the feature signature generated; and identifying at least one medical image in the medical image database as the at least one medical reference image, the at least one medical reference image providing a similarity degree to the medical representation image above a threshold. In an embodiment, the generating is performed using a trained machine-learning algorithm.


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