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:
Jul. 14, 2026

Filed:

Aug. 02, 2023
Applicant:

Zhejiang University, Hangzhou, CN;

Inventors:

Nenggan Zheng, Hangzhou, CN;

Chao Liu, Hangzhou, CN;

Deli Wang, Hangzhou, CN;

Han Zhang, Hangzhou, CN;

Zhaohui Wu, Hangzhou, CN;

Assignee:

ZHEJIANG UNIVERSITY, Hangzhou, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/10 (2017.01); G06T 5/70 (2024.01);
U.S. Cl.
CPC ...
G06T 7/10 (2017.01); G06T 5/70 (2024.01); G06T 2207/20084 (2013.01);
Abstract

Provided is an image and segmentation label generative model for tree-structured data and application. The model includes a simulation model for tree-structured image designed based on a small amount of expert knowledge and a generative network model based on morphological loss function. The present application can generate a simulated tree-structured image with labels that have a style highly similar to that of the real target image. This technology can generate image and segmentation labels for tree target in various medical images, such as brain neurons, retinal vessels, and trachea in the lungs, and the data quality can reach the level of manually annotated data. The model according to the present disclosure is the first model with the ability to automatically generate segmentation level data, and has the advantages of simple and flexible model configuration, high-quality generated data, and a wide range of applications.


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