Arteriovenous fistula stenosis classification method based on Auxiliary Wave and Transformer-Reference-Cited by-同舟云学术

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Arteriovenous fistula stenosis classification method based on Auxiliary Wave and Transformer

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
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Author:

Xu Jinke¹,Zhang Junwei¹,Chen Yujie¹,Ma Gang²,Zhu Zhanpeng³,Wang Lirong¹

Affiliation:

1. Soochow University,School of Electronic and Information Engineering,SuZhou,China

2. University of Science and Technology of China,Suzhou Institute of Biomedical Engineering and Technology,SuZhou,China

3. The First Hospital of Jilin University,Department of Neurosurgery,Jilin,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10063338/10063342/10063548.pdf?arnumber=10063548

Reference18 articles.

1. Hemodialysis vascular access stenosis detection using auditory spectro-temporal features of phonoangiography

2. Using A-weighting for psychoacoustic active noise control

3. An image is worth 16x16 words: Transformers for image recognition at scale[J];dosovitskiy,2020

4. Flexible, Skin Coupled Microphone Array for Point of Care Vascular Access Monitoring

5. Residual noise shaping technique for active noise control systems

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