Recent Advances of Deep Learning Methods for Pulmonary Image Analysis with Incomplete Training Labels

讲座名称: Recent Advances of Deep Learning Methods for Pulmonary Image Analysis with Incomplete Training Labels
讲座时间 2017-11-21
讲座地点 西安交通大学兴庆校区教二楼北生命学院308学术报告厅
讲座人 Ziyue Xu
讲座内容
讲座题目:Recent Advances of Deep Learning Methods for Pulmonary Image Analysis with Incomplete Training Labels
讲座地点:西安交通大学兴庆校区教二楼北生命学院308学术报告厅
讲座时间:2017年11月21日  上午10:00
讲座人:Ziyue Xu
讲座摘要:Computer vision and image analysis is among the fields that adopted deep learning most successfully. Such success is enabled by computational power, learning algorithm, and data availability. For medical image analysis, however, data and label pose a major challenge. As compared with millions of well-annotated natural images, we usually only have at most a few thousand for medical tasks. Among them, majority has no annotation, few with labels, and fewer of high quality.
In this work, we discuss the challenges and possible solutions in applying deep learning methods for pulmonary image analysis when we do not have well-annotated training data. Common tasks are covered including pathological lung segmentation, lobe fissure estimation, airway extraction, and disease pattern classification. For each candidate task, based on its unique features, we present the reason behind the choice of a specific deep learning structure. Further, we discuss the characteristics of pulmonary images, and how to design and generate the training data that is usually constraint by limited clinical resources. Based on the result, we show that for certain tasks in medical image analysis, incomplete label is feasible for training if it sufficiently covers the variance of target subject.

 

讲座人介绍

Dr. Ziyu Xu e is a Staff Scientist in the Center for Infectious Disease Imaging at Radiology and Imaging Sciences Department in Clinical Center, National Institutes of Health where he has been a member since 2012. Dr. Xu obtained his PhD and MS degree from Department of Electrical and Computer Engineering, the University of Iowa in 2012 and 2009, and BE from the Department of Electronics Engineering, Tsinghua University in 2006. His research interests lie in the area of image analysis and machine learning with applications in biomedical and clinical imaging.

讲座视频 暂无视频

(转载文章,请注明出处: 西安交通大学学术资源平台 http://meeting.xjtu.edu.cn)

如果您有学术信息和动态,欢迎投稿,wuxuan@mail.xjtu.edu.cn。我们将在第一时间确认并收录