Analyzing Filamentary Structured Objects in Biomedical Images: Segmentation, Tracing, and Synthesis
February 26, 2018 at 10:30 AM to 12:00 PM
|Location:||5345 Herzberg Laboratories|
Filamentary structured objects are abundant in biomedical imaging data including retinal fundus images, neuronal images, and angiography, to name a few. In this talk, I will discuss on our recent research efforts in addressing the tasks of segmenting, tracing, and synthesizing such images. In particular, I will describe the directed graph based tracing methods we have developed that can be applied to a range of data analysis tasks even beyond biomedical data. More details can be found at our project websites https://web.bii.a-star.edu.sg/archive/machine_learning/Projects/filaStructObjs/project.htm.
Li CHENG is a Principal Investigator in BII, A*STAR, Singapore, where he heads the machine learning for bioimage analysis group. 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.