Invention Grant
- Patent Title: Method and system for anatomical labels generation
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Application No.: US17726039Application Date: 2022-04-21
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Publication No.: US12094596B2Publication Date: 2024-09-17
- Inventor: Xin Wang , Youbing Yin , Bin Kong , Yi Lu , Xinyu Guo , Hao-Yu Yang , Junjie Bai , Qi Song
- Applicant: SHENZHEN KEYA MEDICAL TECHNOLOGY CORPORATION
- Applicant Address: CN Shenzhen
- Assignee: SHENZHEN KEYA MEDICAL TECHNOLOGY CORPORATION
- Current Assignee: SHENZHEN KEYA MEDICAL TECHNOLOGY CORPORATION
- Current Assignee Address: CN Shenzhen
- Agency: Bayes PLLC
- Main IPC: G06V10/82
- IPC: G06V10/82 ; G06N3/045 ; G06V20/70 ; G16H30/40

Abstract:
The present disclosure relates to a method and a system for generating anatomical labels of an anatomical structure. The method includes receiving an anatomical structure with an extracted centerline, or a medical image containing the anatomical structure with the extracted centerline; and predicting the anatomical labels of the anatomical structure based on the centerline of the anatomical structure, by utilizing a trained deep learning network. The deep learning network includes a branched network, a Graph Neural Network, a Recurrent Neural Network and a Probability Graph Model, which are connected sequentially in series. The branched network includes at least two branch networks in parallel. The method in the disclosure can automatically generate the anatomical labels of the whole anatomical structure in medical image end to end and provide high prediction accuracy and reliability.
Public/Granted literature
- US20220344033A1 Method and System for Anatomical Labels Generation Public/Granted day:2022-10-27
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