AI-Powered Measurement of Ultrasonic Axial-Transmission Velocity for Pediatric Skeletal Development Evaluation-Reference-Cited by-同舟云学术

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AI-Powered Measurement of Ultrasonic Axial-Transmission Velocity for Pediatric Skeletal Development Evaluation

Published:2022-10-10 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Ultrasonics Symposium (IUS)
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Author:

Li Qing¹,Tran Tho N.H.T.²,Guo Jialin³,Xu Kailiang¹,Li Boyi²,Le Lawrence H.¹,Ta Dean¹

Affiliation:

1. Center for Biomedical Engineering, Fudan University,Shanghai,China

2. Institute of Biomedical Engineering and Technology, Academy for Engineering and Technology, Fudan University,Shanghai,China

3. Shanghai First Maternity and Infant Hospital,Shanghai,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9957114/9957143/09957521.pdf?arnumber=9957521

Reference17 articles.

1. Automatic Time Picking for Microseismic Data Based on a Fuzzy C-Means Clustering Algorithm

2. Automatic microseismic event picking via unsupervised machine learning

3. Automatic seismic phase picking based on unsupervised machine-learning classification and content information analysis

4. Estimating attributes: Analysis and extensions of RELIEF

5. Scalable extensions of the ReliefF algorithm for weighting and selecting features on the multi-label learning context

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