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:
Sep. 10, 2024

Filed:

Mar. 17, 2022
Applicant:

Nanjing University of Posts and Telecommunications, Nanjing, CN;

Inventors:

Dengyin Zhang, Nanjing, CN;

Weidan Yan, Nanjing, CN;

Rong Zhao, Nanjing, CN;

Hong Zhu, Nanjing, CN;

Shuo Yang, Nanjing, CN;

Qunjian Du, Nanjing, CN;

Junjie Sun, Nanjing, CN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/11 (2017.01); G06T 3/40 (2024.01); G06T 3/4046 (2024.01); G06T 5/50 (2006.01); G06T 7/00 (2017.01);
U.S. Cl.
CPC ...
G06T 7/11 (2017.01); G06T 3/4046 (2013.01); G06T 5/50 (2013.01); G06T 7/0012 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20221 (2013.01); G06T 2207/30088 (2013.01);
Abstract

A medical image segmentation method include: 1) acquiring a medical image data set; 2) acquiring, from the medical image data set, an original image and a real segmentation image of a target region in the original image in pair to serve as an input data set of a pre-built constant-scaling segmentation network, the input data set including a training set, a verification set, and a test set; 3) training the constant-scaling segmentation network by using the training set to obtain a trained segmentation network model, and verifying the constant-scaling segmentation network by using the verification set, the constant-scaling segmentation network including a feature extraction module and a resolution amplifying module; and 4) inputting the original image to be segmented into the segmentation network model for segmentation to obtain a real segmentation image.


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