Yilong Yin, Professor, Shandong University
尹义龙，教授，山东大学
Title：Breast tumor segmentation with prior knowledge learning
Abstract：
The segmentation is always a hot topic and hard task for medical image processing. During the past decades, many effective
segmentation methods have been developed. Among these, it is a trend to use the specific prior knowledge to improve
segmentation performance. As to segmentation for breast tumor via ultrasound image, how to use prior knowledge effectively is a
challenge for the intrinsic and complex characteristics of such images, such as the variance of intensity and texture of inter-device
and intra-device. In this talk, a breast tumor segmentation method with prior knowledge learning will be introduced.
Brief Bio:
Yilong Yin is a professor and founding director of the Machine learning and Data mining Lab in School of Computer Science and
Technology at Shandong University. He received his Ph. D. degree from Jilin University, China in 2000. From 2000 to 2002, he
worked as a post-doctoral fellow in Nanjing University. He is the deputy secretary general of Machine Learning Technical
Committee of the CAAI (Chinese Association of Artificial Intelligence), the committee member of the Artificial Intelligence and
Pattern Recognition Technical Committee of the CCF (China Computer Federation).His research interests mainly including machine
learning, biometrics and medical image processing. He was supported by 9 funding such as NSFC Joint Fund with Guangdong under
Key Project, Natural Science Foundation of China and so on. He has published many papers in the leading international journals or
conferences such as IEEE Transactions on Information Forensics & Security、Pattern Recognition, CIKM、IJCB, and held 8 patents.
He was supported by Program for New Century Excellent Talents in University of Ministry of Education of China in 2011, Shandong
Natural Science Funds for Distinguished Young Scholar in 2013. He has awarded the second award for Scientific Advancement of
Shandong Province in 2014.