特邀美国北卡罗莱纳大学教堂山分校王利博士来校作学术报告-信息与控制学院
特邀美国北卡罗莱纳大学教堂山分校王利博士来校作学术报告
发布日期:2016-11-22

报告题目:Learning-based method for medical image segmentation (基于学习方法的医学图像分割)

报告时间:11月28日(周一)上午10:00

报告地点:学科3号楼S410会议室

报告人:王 利博士

主持人:徐 军教授

欢迎广大师生踊跃参加!

 

江苏省大数据分析技术重点实验室

江苏省气象能源利用与控制工程技术研究中心

江苏省大气环境与装备技术协同创新中心

信息与控制学院

20161122

 

 

报告摘要: Segmentation of medical images is challenging due to the low image quality, severe partial volume effect, and noise. In this talk, I will mainly focus on the segmentation of infant brain MRIs, monkey MRIs and dental CBCTs. During the first year of life, the brain image contrast between white and gray matters undergoes dramatic changes. In particular, the image contrast inverses around 6-8 months of age, where the white and gray matter tissues are isointense and hence exhibit the extremely low tissue contrast, posing significant challenges for automated segmentation. In this talk, a novel learning-based method is proposed for segmentation of infant brain MRIs. This method is general and can be also extended to monkey MRIs and dental CBCTs.  

个人简介: Li Wang received the Ph.D. degree in Pattern Recognition and Intelligent System from Nanjing University of Science and Technology in 2010. He is currently a research instructor from the University of North Carolina at Chapel Hill, USA. His interests focus on segmentation, registration, cortical surface analysis, and their applications on normal early brain development and disorders.