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. 29, 2026

Filed:

Mar. 19, 2024
Applicant:

Zhejiang University, Hangzhou, CN;

Inventors:

Yue Wang, Hangzhou, CN;

Lilu Liu, Hangzhou, CN;

Xiuping Nie, Hangzhou, CN;

Rong Xiong, Hangzhou, CN;

Assignee:

Zhejiang University, Hangzhou, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/194 (2017.01); G06T 7/00 (2017.01); G06V 10/40 (2022.01); G06V 10/764 (2022.01);
U.S. Cl.
CPC ...
G06T 7/194 (2017.01); G06T 7/0012 (2013.01); G06V 10/40 (2022.01); G06V 10/764 (2022.01); G06T 2207/10081 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30056 (2013.01);
Abstract

A liver CT image segmentation system and algorithm based on mixed supervised learning is provided. The image segmentation system includes an image preprocessing unit, a feature extraction unit, a word vector segmentation unit and a single-layer convolutional classification unit. The image preprocessing unit is in data connection with the feature extraction unit. The feature extraction unit is respectively in data connection with the word vector segmentation unit and the single-layer convolutional classification unit. In the present disclosure, a multi-task framework is used for respectively performing segmentation and classification tasks, to achieve high segmentation precision through a large number of weak label data and a small number of strong labels.


Find Patent Forward Citations

Wang, Yue. (2026). Liver ct image segmentation system and algorithm based on mixed supervised learning (U.S. Patent No. 12749199). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12749199

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