报告题目： Modeling and Analysis ofMulti-Dimensional Biomedical Data
报告人介绍： Prof. Yen-Wei Chen，Professor, College of Information Science and Engineering,
Ritsumeikan University, Japan
报告简介：
Due to the rapid development of imaging technologies, we have obtained a large amount of biomedical images. In addition to 3-dimensional spatial information, the biomedical images have temporal information. Efficient representation (modeling) of the multi-dimensional biomedical data is an important issue for biomedical image analysis. In this talk, I will introduce two research topics related tomodeling and analysis ofmulti-dimensional biomedical data. The first topic is tensor-based multi-linear subspace learning methods forefficient representation of multi-dimensional medical data and its application to dynamic CT image analysis. The second topic is deep learning-based mitotic cell detectionin 4D microscopic images
报告时间：2019年10月17日上午10:00-11:00
报告地点：逸夫科技馆三楼大会议室
vic115维多利亚