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:
May. 24, 2022

Filed:

May. 09, 2020
Applicant:

Shanghai United Imaging Intelligence Co., Ltd., Shanghai, CN;

Inventors:

Miaofei Han, Shanghai, CN;

Yu Zhang, Shanghai, CN;

Yaozong Gao, Shanghai, CN;

Yiqiang Zhan, Shanghai, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/22 (2022.01); G06T 7/62 (2017.01); G06T 7/11 (2017.01); G06T 7/149 (2017.01); G16H 50/50 (2018.01); G16H 50/30 (2018.01); G16H 50/20 (2018.01); G16H 30/40 (2018.01); A61B 5/107 (2006.01); G06K 9/62 (2022.01); G06N 3/04 (2006.01); G06V 30/24 (2022.01);
U.S. Cl.
CPC ...
G06V 10/22 (2022.01); A61B 5/1073 (2013.01); G06K 9/6256 (2013.01); G06N 3/04 (2013.01); G06T 7/11 (2017.01); G06T 7/149 (2017.01); G06T 7/62 (2017.01); G06V 30/2504 (2022.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); G16H 50/50 (2018.01); A61B 2576/02 (2013.01); G06T 2207/30084 (2013.01); G06V 2201/031 (2022.01); G06V 2201/032 (2022.01);
Abstract

A system for image segmentation is provided. The system may obtain a target image including an ROI, and segment a preliminary region representative of the ROI from the target image using a first ROI segmentation model corresponding to a first image resolution. The system may segment a target region representative of the ROI from the preliminary region using a second ROI segmentation model corresponding to a second image resolution. At least one model of the first and second ROI segmentation models may at least include a first convolutional layer and a second convolutional layer downstream to the first convolutional layer. A count of input channels of the first convolutional layer may be greater than a count of output channels of the first convolutional layer, and a count of input channels of the second convolutional layer may be smaller than a count of output channels of the second convolutional layer.


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