Webinar Title: Resolving Cross-Hospital Variation Effects in AI-based Pathology Image Analysis
Webinar Speaker: Prof. Pau-Choo (Julia) Chung
Webinar Chair : Dr. Mardé Helbig
Date and Time : 2 April at 8.00 PM. (GMT-5 (EST)), 3 April 3.00 AM . (GMT+2 (CAT/ Pretoria)),
3 April 9.00 AM (GMT+8 (CST/Taipei)) and 11AM (GMT+10 (AEST/Brisbane))
Registration URL : https://attendee.gotowebinar.com/register/6014316939288997463
Pathology image reporting is a time-consuming process due to the extremely large image sizes. The advance of AI on its image analysis capability has triggered the installation of digital pathology in hospital to adopt AI as an assistant on pathology image analysis. However, due to the dyeing process and different scanners, the characteristics of the digitized pathology images could vary significantly across different hospitals. Therefore, an AI model trained by data from a certain hospital often does not work well on another hospital. In this talk, we will introduce issues caused by cross-hospital variations. Approaches to enhance AI models when facing cross-hospital variations will also be presented.
Pau-Choo (Julia) Chung (S’89-M’91-SM’02-F’08) received the Ph.D. degree in electrical engineering from Texas Tech University, USA, in 1991. She then joined the Department of Electrical Engineering, National Cheng Kung University (NCKU), Taiwan, in 1991 and has become a full professor in 1996. She served as the Head of Department of Electrical Engineering(2011-2014), the Director of Institute of Computer and Communication Engineering (2008-2011), NCKU. She was elected Distinguished Professor of NCKU in 2005 and received the Distinguished Professor Award of Chinese Institute of Electrical Engineering in 2012. She also served as Program Director of Intelligent Computing Division, Ministry of Science and Technology (2012-2014), the Director General of the Department of Information and Technology Education at Ministry of Education, Dean of Miin Wu School of Computing at NCKU. Currently, she is the Dean of College of Electrical Engineering and Computer Science at NCKU, Taiwan.
Dr. Chung’s research interests include computational intelligence, machine learning, computational pathology, medical image analysis, and pattern recognition. She currently is focusing on Whole Slide Image (WSI) pathology image analysis and has built ALOVAS platform. She served as an Associate Editor of IEEE Transactions on Neural Network and Learning Systems and an Associate Editor of IEEE Transactions on Biomedical Circuits and Systems. Currently she is an Associate Editor of IEEE Transactions on Artificial Intelligence.
Dr. Chung served on two terms of ADCOM member (2009-2011, 2012-2014), the Chair of CIS Distinguished Lecturer Program (2012-2013), the Chair of Women in Computational Intelligence (2014), and the Vice President for Members Activities of IEEE CIS Society. She also served on two terms of BoG member in IEEE Circuit and Systems Society. She is a Member of Phi Tau Phi honor society and is an IEEE Fellow since 2008. Currently she serves as the Vice President for Education of IEEE CIS.
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