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.
Patent No.:
Date of Patent:
Oct. 22, 2019
Filed:
Dec. 02, 2016
Applicant:
General Electric Company, Schenectady, NY (US);
Inventors:
Suvadip Mukherjee, Bangalore, IN;
Roshni Bhagalia, Niskayuna, NY (US);
Xiaojie Huang, Schenectady, NY (US);
Assignee:
GENERAL ELECTRIC COMPANY, Schenectady, NY (US);
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/143 (2017.01); G06N 3/08 (2006.01); G06N 3/04 (2006.01); G06N 7/00 (2006.01); G06T 7/194 (2017.01); G06T 5/00 (2006.01); G06T 7/11 (2017.01); G06T 7/12 (2017.01); G06T 7/162 (2017.01); G06T 7/136 (2017.01);
U.S. Cl.
CPC ...
G06T 7/143 (2017.01); G06N 3/04 (2013.01); G06N 3/0454 (2013.01); G06N 3/0472 (2013.01); G06N 3/08 (2013.01); G06N 7/005 (2013.01); G06T 5/002 (2013.01); G06T 7/11 (2017.01); G06T 7/12 (2017.01); G06T 7/136 (2017.01); G06T 7/162 (2017.01); G06T 7/194 (2017.01); G06T 2207/10072 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/10136 (2013.01); G06T 2207/20076 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20161 (2013.01); G06T 2207/30064 (2013.01); G06T 2207/30096 (2013.01); G06T 2207/30101 (2013.01);
Abstract
Embodiments described herein provide a hybrid technique which incorporates learned pulmonary nodule features in a model based energy minimization segmentation using graph cuts. Features are extracted from training samples using a convolutional neural network, and the segmentation cost function is augmented via the deep learned energy. The system and method improves segmentation performance and more robust initialization.