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:
Apr. 28, 2020

Filed:

Jan. 11, 2018
Applicant:

Siemens Healthcare Gmbh, Erlangen, DE;

Inventors:

Shaohua Kevin Zhou, Plainsboro, NJ (US);

Mingqing Chen, Plainsboro, NJ (US);

Daguang Xu, Princeton, NJ (US);

Zhoubing Xu, Plainsboro, NJ (US);

Dong Yang, Somerset, NJ (US);

Assignee:

Siemens Healthcare GmbH, Erlangen, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06T 7/00 (2017.01); G06K 9/66 (2006.01); G06T 7/11 (2017.01); G06N 7/00 (2006.01); G06N 3/04 (2006.01); G06K 9/62 (2006.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); G06K 9/6267 (2013.01); G06K 9/66 (2013.01); G06N 3/0454 (2013.01); G06N 3/084 (2013.01); G06N 7/005 (2013.01); G06T 7/11 (2017.01); G06K 2209/05 (2013.01); G06T 2207/10072 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/10104 (2013.01); G06T 2207/10116 (2013.01); G06T 2207/10132 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

Methods and apparatus for automated medical image analysis using deep learning networks are disclosed. In a method of automatically performing a medical image analysis task on a medical image of a patient, a medical image of a patient is received. The medical image is input to a trained deep neural network. An output model that provides a result of a target medical image analysis task on the input medical image is automatically estimated using the trained deep neural network. The trained deep neural network is trained in one of a discriminative adversarial network or a deep image-to-image dual inverse network.


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