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:
Oct. 01, 2024

Filed:

Apr. 15, 2024
Applicant:

Huazhong University of Science and Technology, Hubei, CN;

Inventors:

Xuming Zhang, Hubei, CN;

Mingwei Wen, Hubei, CN;

Quan Zhou, Hubei, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06T 3/4046 (2024.01); G06T 7/11 (2017.01); G06T 7/143 (2017.01); G16H 30/40 (2018.01);
U.S. Cl.
CPC ...
G06T 7/11 (2017.01); G06T 3/4046 (2013.01); G06T 7/0012 (2013.01); G06T 7/143 (2017.01); G16H 30/40 (2018.01); G06T 2200/04 (2013.01); G06T 2207/20076 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20132 (2013.01); G06T 2207/30096 (2013.01);
Abstract

The disclosure belongs to the field of image segmentation in medical image processing and discloses a three-dimensional medical image segmentation method and system based on short-term and long-term memory self-attention models, in which the method can segment a target area image in the medical image, which includes the following. (1) A training set sample is established. (2) Processing is performed on the original three-dimensional medical image to be segmented to obtain a sample to be segmented. (3) A three-dimensional medical image segmentation network based on short-term and long-term memory self-attention is established and trained. (4) The sample to be segmented is input to the network, and then a segmentation result of the target area in the sample to be segmented is output. By combining CNN and Transformer, a new model for accurate real-time segmentation of the target area (such as a tumor) in the three-dimensional medical image is obtained.


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Zhang, Xuming. (2024). Three-dimensional medical image segmentation method and system based on short-term and long-term memory self-attention model (U.S. Patent No. 12106484). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12106484

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