Annotation-efficient Deep Learning for Computed Tomography Image Segmentation

Fri, 14 Jun 2024 14:00 - 15:00 JST
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Speaker: Pong C Yuen (Hong Kong Baptist University, Professor)

Room 424, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8904 JAPAN

Research Center for Advanced Science and Technology, the University of Tokyo

Abstract: Pixel-level annotation is an expensive process and has been one of the key challenges in developing deep learning-based image segmentation. The problem is even more challenging for medical images. This is because abnormal regions in medical images are normally relatively small, and a medical professional is required for annotation. In this talk, I will briefly give an overview of existing approaches in annotation-efficient deep learning for medical image segmentation. After that, I will report our approach by leveraging synthetic medical images. In specific, I will share two recent research works, liver tumor segmentation
lung and cross-disease lesion segmentation. Finally, I will discuss the research directions towards annotation-free medical image segmentation.

About the Speaker: Pong C Yuen received his Ph.D. degree in Electrical and Electronic Engineering from The University of Hong Kong. He joined the Hong Kong Baptist University in 1993, and served as the Head of Department of Computer Science from 2011 – 2017. Currently, he is a Chair Professor in Computer Science and Associate Dean of Science Faculty, Hong Kong Baptist University.
Over the years, Dr. Yuen has spent his sabbatical and visited a number of universities/research institutes as a visiting professor/scholar, including The University of Sydney (Australia), The University of Maryland at College Park (USA), INRIA Rhone Alpes (France), ETH Zurich (Switzerland), and The University of Bologna (Italy). Dr. Yuen was the director of Croucher Advanced Study Institute (ASI) on biometric authentication in 2004 and the director of Croucher ASI on Biometric Security and Privacy in 2007. He has been serving as the Director of IAPR/IEEE Winter School on Biometrics since 2017.

Dr. Yuen has been actively involved in many international conferences and professional community as a general/program co-chair, including ICPR 2006, BTAS 2012, ISBA 2016, WIFS 2018, IJCB 2021. He served as Associate Editor of IEEE Transactions on Information Forensics and Security (2014 – 2018, 2021-2022), and received the Outstanding Editorial Board Service Award in 2018. Dr. Yuen has served as the Vice President (Technical Activities) of the IEEE Biometrics Council (2017-2019), and Associate Editor/Senior Editor of SPIE Journal of Electronic Imaging (2012-2019). Currently, Dr. Yuen is serving as the Senior Area Editor of IEEE Transactions on Information Forensics and Security, Editorial Board Member of Pattern Recognition, and Associate Editor of IEEE Transactions on Biometrics, Behaviour and Identity Science. He received the first-prize and second-prize Natural Science Awards from the Guangdong Province and the Ministry of Education, China, respectively. He is a Fellow of IAPR.

This seminar is hosted by Machine Intelligence for Medical Engineering Team and the University of Tokyo.

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