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:
Jun. 23, 2020

Filed:

Sep. 16, 2019
Applicant:

Siemens Healthcare Gmbh, Erlangen, DE;

Inventors:

Sebastian Guendel, Erlangen, DE;

Florin-Cristian Ghesu, Princeton, NJ (US);

Eli Gibson, Plainsboro, NJ (US);

Sasa Grbic, Plainsboro, NJ (US);

Bogdan Georgescu, Plainsboro, NJ (US);

Dorin Comaniciu, Princeton Junction, NJ (US);

Assignee:

Siemens Healthcare GmbH, Erlangen, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06K 9/62 (2006.01); G06T 7/00 (2017.01); G06T 7/70 (2017.01);
U.S. Cl.
CPC ...
G06K 9/6267 (2013.01); G06T 7/0012 (2013.01); G06T 7/70 (2017.01); G06T 2207/10116 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30048 (2013.01); G06T 2207/30061 (2013.01);
Abstract

Systems and methods are provided for automatic classification of multiple abnormalities that are visible in chest X-ray images. The systems and methods are based on a deep learning architecture that predicts, in addition to classification scores of abnormalities, lung/heart masks, and the location of certain abnormalities. By training a multi-task network to improve all the results, the network and the resulting abnormality classification is improved. Normalization of the chest X-ray images is also used to improve the accuracy and efficiency of the multi-task network.


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