[特邀报告]Clinical Applications of Multimodality Medical Image Fusion - 报告详情

Clinical Applications of Multimodality Medical Image Fusion
编号:36 访问权限:仅限参会人 更新:2021-11-05 11:00:00 浏览:193次 特邀报告

报告开始:2021年11月13日 14:20 (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
Medical imaging is widely used in clinical diagnosis, treatment and prognosis evaluation as a non-invasive technology. In recent years, artificial intelligence has promoted new progress in the field of medical imaging. Multimodality image fusion techniques further increase the application and clinical value of medical images through richer and more comprehensive data mining and analysis. This report will focus on the application of multimodality fusion techniques for PET, CT and others in specific problems such as image reconstruction, object detection and chronic disease screening, and discuss the possible ideas, challenges and opportunities in the in-depth combination of artificial intelligence technology and classical physical principles of medical imaging.
 
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报告人
Wentao Zhu
Principal Investigat Zhejiang Lab

Wentao Zhu, Ph.D.
Tsinghua University (B.S. 09), University of Southern California (Ph.D. 14)
Deputy Director, Research Center for Healthcare Data Science, Zhejiang Lab
Winner of the National Overseas High Level Talents Plan
"Top 10 Outstanding People of Artificial Intelligence in the Yangtze River Delta", 2021 World Artificial Intelligence Conference
Member, China Society of Image and Graphics
Member, Chinese Society of Biomedical Engineering

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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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