[特邀报告]Ultrasound Intelligence: Methods and Applications - 报告详情

Ultrasound Intelligence: Methods and Applications
编号:34 访问权限:仅限参会人 更新:2021-11-02 17:20:51 浏览:152次 特邀报告

报告开始:2021年11月13日 13:30 (Asia/Shanghai)

报告时间:25min

所在会议:[PS1] Plenary Session 1 [NM1] Workshop on NM Session 1

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摘要
Ultrasound (US) has become one of the most commonly used imaging modalities in clinical practice. It is a rapidly developing technology with certain advantages and unique challenges that include the high system and operator variabilities. From the perspective of US image analysis, it is essential to develop intelligent methods to assist in US diagnosis and/or to make the diagnosis more objective, accurate, and better to be robust to the system and operator variabilities. In the above context, this talk first reviews the different US modalities that are commonly used for a variety of clinical applications. Then, for each US modality, several promising intelligent approaches recently proposed in our research group to address various specific clinical problems are introduced. The proposed methods include but not limited to the deep learning models established based on the information fusion of multimodality US data. In particular, the generalization ability of the proposed approaches related to the diagnosis across US machines and the interpretation of the developed deep learning models are presented in a comprehensive manner. Finally, the open challenges and potential trends for the future development of ultrasound intelligent methods and the associated applications are discussed.
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报告人
Xin Chen
Professor Shenzhen University

* Deputy Head of School of Biomedical Engineering, Shenzhen University
* Director of Chinese Society of Biomedical Engineering
* Member of instrument Engineering Development Special Committee of Chinese Society of Ultrasonic Medical Engineering

Xin Chen received the B.S. degree in electrical engineering and the Ph.D. degree in biomedical engineering from the University of Science and Technology of China in 1998 and 2003, respectively. He was with The Hong Kong Polytechnic University as a Research Associate. In 2008, he joined the School of Biomedical Engineering, Shenzhen University, where he is currently a Professor. His research interests include ultrasound elasticity imaging and measurement, ultrasound assessment of musculoskeletal tissues, biomedical conductivity imaging, and biomedical instrumentation.

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重要日期

摘要提交日期:

2021/08/31

2021/10/25

全文投稿日期:  

2021/09/15

2021/10/25

录取通知日期: 

2021/09/30

2021/11/01

会议日期:   2021-11-12-2021-11-14

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