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Analyzing Filamentary Structured Objects in Biomedical Images: Segmentation, Tracing, and Synthesis
Date:2017/11/14     Browse:147

Speaker:    Dr. Li CHENG, BII A*STAR

Time:         Nov 14,  14:00 – 15:00 

Location:   Room 1A-200, SIST Building

Inviter:      Prof. Xuming He

Abstract:

Filamentary structured objects are abundant in biomedical images, such as retinal fundus images, neuronal images, and angiography, to name a few. In this talk, we will discuss on our recent research efforts in addressing the tasks of segmentation, tracing, and synthesis for such images. More details can be found at project websites  https://web.bii.a-star.edu.sg/archive/machine_learning/Projects/filaStructObjs/project.htm.

Bio:

Li CHENG is a Principal Investigator in BII, A*STAR, Singapore, where he heads the machine learning for bioimage analysis lab. Prior to joining BII, He worked at Statistical Machine Learning group of NICTA, Australia, TTI-Chicago, USA, and University of Alberta, Canada, where he obtained his Ph.D.in Computer Science in 2004. His research expertise is mainly on computer vision and machine learning.

SIST-Seminar 17055