Patent · US Active

Method and system for performing segmentation of image having a sparsely distributed object

US10460447B2 · kind B2 · utility

4Cited by

3References

21Claims

0Family size

Assignee

SHENZHEN KEYA MEDICAL TECHNOLOGY CORPORATION · CN

Inventors

Qi Song · Beijing, CN
Hanbo Chen · Seattle, US
Yujie Zhou · Shanghai, CN
Youbing Yin · Kenmore, US
Yuwei Li · Bellevue, US

Key dates

Filing date	Dec 14, 2017
Grant date	Oct 29, 2019
Priority date	—
Expiry date	Jul 6, 2038

Classification

Technology area (CPC G)Physics
CPC primaryG06T2207/30201
WIPO fieldComputer technology
WIPO sectorElectrical engineering

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.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.