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:
Feb. 14, 2017

Filed:

May. 20, 2016
Applicant:

Siemens Healthcare Gmbh, Erlangen, DE;

Inventors:

Florin Cristian Ghesu, Erlangen, DE;

Bogdan Georgescu, Plainsboro, NJ (US);

Dominik Neumann, Erlangen, DE;

Tommaso Mansi, Plainsboro, NJ (US);

Dorin Comaniciu, Princeton Junction, NJ (US);

Wen Liu, Plainsboro, NJ (US);

Shaohua Kevin Zhou, Plainsboro, NJ (US);

Assignee:

Siemens Healthcare GmbH, Erlangen, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 15/18 (2006.01); G06N 99/00 (2010.01); G06F 19/00 (2011.01); G06K 9/62 (2006.01); G06K 9/66 (2006.01); G06T 7/00 (2006.01); A61B 8/08 (2006.01); A61B 8/00 (2006.01);
U.S. Cl.
CPC ...
G06N 99/005 (2013.01); A61B 8/0883 (2013.01); A61B 8/4416 (2013.01); G06F 19/345 (2013.01); G06K 9/6256 (2013.01); G06K 9/66 (2013.01); G06T 7/0012 (2013.01);
Abstract

Intelligent image parsing for anatomical landmarks and/or organs detection and/or segmentation is provided. A state space of an artificial agent is specified for discrete portions of a test image. A set of actions is determined, each specifying a possible change in a parametric space with respect to the test image. A reward system is established based on applying each action of the set of actions and based on at least one target state. The artificial agent learns an optimal action-value function approximator specifying the behavior of the artificial agent to maximize a cumulative future reward value of the reward system. The behavior of the artificial agent is a sequence of actions moving the agent towards at least one target state. The learned artificial agent is applied on a test image to automatically parse image content.


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