报告人： Zeng Zeng (曾锃)，新加坡A*Star I2R研究院, 高级科学家。
报告时间：2021年11月17日 (星期三) 下午2:00 - 3:00
报告地点：Zoom在线会议
https://us02web.zoom.us/j/2810019605?pwd=ZzlqRU4zOGZ5TkJYUm9KQlBDcDZwUT09
会议号：281 001 9605
密码：HNU2021
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报告摘要：Liver cancer is a global health burden of which hepatocellular carcinoma (HCC) is the predominant subtype. HCC is the sixth most common cancer in the world and the second leading cause of cancer mortality for males. The overall 5-year survival rate for liver cancer is unfortunately approximately 15%, and the median survival from diagnosis to death ranges from 3-6 months. Contemporaneously, Artificial Intelligence (AI) is revolutionizing the field of medical diagnostics. In the cancer domain, AI has demonstrated significant capabilities in achieving higher diagnostic accuracy compared to domain experts. Importantly, AI can leverage on standard-of-care imaging which are established clinical routines. The use of AI and imaging for genomics and molecular profiling of cancers will be hugely beneficial as it is non-invasive and captures a comprehensive view of the tumor. This is the basis of our work to leverage on AI and standard-of-care imaging for the diagnosis of liver tumours and the prediction of genomic driver mutations in HCC.
Free discussion topics: multi-phase multi-modality deep learning, how to capture the significant features among different phase CT scans.
报告人简介：Dr. Zeng Zeng is an IEEE Senior Member. He received the Ph.D. degree in electrical and computer engineering from the National University of Singapore, Singapore. Currently, he works as Senior Scientist, Program Head, I2R, A*STAR, Singapore. From 2011 to 2014, he worked as a Senior Research Fellow with the National University of Singapore. From 2005 to 2011, he worked as Professor in Computer and Communication School, Hunan University, China. His research interests include distributed/parallel computing systems, data stream analysis, deep learning, multimedia storage systems, wireless sensor networks.
邀请人：李肯立
联系人：陈建国
