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:
Oct. 29, 2019

Filed:

Dec. 14, 2017
Applicant:

Shenzhen Keya Medical Technology Corporation, Shenzhen, CN;

Inventors:

Qi Song, Seattle, WA (US);

Hanbo Chen, Seattle, WA (US);

Yujie Zhou, Beijing, CN;

Youbing Yin, Kenmore, WA (US);

Yuwei Li, Bellevue, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06T 7/143 (2017.01); G06T 7/13 (2017.01); G06T 7/12 (2017.01); G06T 7/194 (2017.01); G06T 7/174 (2017.01); G06T 7/11 (2017.01);
U.S. Cl.
CPC ...
G06T 7/143 (2017.01); G06T 7/11 (2017.01); G06T 7/12 (2017.01); G06T 7/13 (2017.01); G06T 7/174 (2017.01); G06T 7/194 (2017.01); G06T 2207/20081 (2013.01); G06T 2207/30201 (2013.01);
Abstract

Methods and systems for segmenting images having sparsely distributed objects are disclosed. A method may include: predicting object potential areas in the image using a preliminary fully convolutional neural network; segmenting a plurality of sub-images corresponding to the object potential areas in the image using a refinement fully convolutional neural network, wherein the refinement fully convolutional neural network is trained to segment images on a higher resolution compared to a lower resolution utilized by the preliminary fully convolutional neural network; and combining the segmented sub-images to generate a final segmented image.


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