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SYSTEMS AND METHODS FOR DETERMINING BLOOD VESSEL CONDITIONS
专利权人:
SHENZHEN KEYA MEDICAL TECHNOLOGY CORPORATION
发明人:
Xin Wang,Youbing Yin,Kunlin Cao,Yuwei Li,Junjie Bai,Xiaoyang Xu
申请号:
US16056535
公开号:
US20190362494A1
申请日:
2018.08.07
申请国别(地区):
US
年份:
2019
代理人:
摘要:
The disclosure relates to systems and methods for determining blood vessel conditions. The method includes receiving a sequence of image patches along a blood vessel path acquired by an image acquisition device. The method also includes predicting a sequence of blood vessel condition parameters on the blood vessel path by applying a trained deep learning model to the acquired sequence of image patches on the blood vessel path. The deep learning model includes a data flow neural network, a recursive neural network and a conditional random field model connected in series. The method further includes determining the blood vessel condition based on the sequence of blood vessel condition parameters. The disclosed systems and methods improve the calculation of the sequence of blood vessel condition parameters through an end-to-end training model, including improving the calculation speed, reducing manual intervention for feature extraction, increasing accuracy, and the like.
来源网站:
中国工程科技知识中心
来源网址:
http://www.ckcest.cn/home/
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