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:
Mar. 31, 2020

Filed:

Jan. 16, 2018
Applicant:

Siemens Healthcare Gmbh, Erlangen, DE;

Inventors:

Carol L. Novak, Newtown, PA (US);

Benjamin L. Odry, West New York, NY (US);

Atilla Peter Kiraly, San Jose, CA (US);

Jiancong Wang, Philadelphia, PA (US);

Assignee:

Siemens Healthcare GmbH, Erlangen, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/11 (2017.01); G06K 9/62 (2006.01); G06T 7/187 (2017.01); G06T 11/00 (2006.01); G06K 9/66 (2006.01); G06T 5/00 (2006.01); A61B 6/03 (2006.01); A61B 6/00 (2006.01); A61B 8/08 (2006.01); G06T 7/10 (2017.01);
U.S. Cl.
CPC ...
G06K 9/6256 (2013.01); A61B 6/032 (2013.01); A61B 6/5211 (2013.01); A61B 8/5207 (2013.01); G06K 9/623 (2013.01); G06K 9/66 (2013.01); G06T 5/002 (2013.01); G06T 7/10 (2017.01); G06T 7/11 (2017.01); G06T 7/187 (2017.01); G06T 11/003 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20116 (2013.01); G06T 2207/20152 (2013.01); G06T 2207/30061 (2013.01); G06T 2207/30101 (2013.01);
Abstract

A generative network is used for lung lobe segmentation or lung fissure localization, or for training a machine network for lobar segmentation or localization. For segmentation, deep learning is used to better deal with a sparse sampling of training data. To increase the amount of training data available, an image-to-image or generative network localizes fissures in at least some of the samples. The deep-learnt network, fissure localization, or other segmentation may benefit from generative localization of fissures.


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