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an IEEE UNB invited seminar by
Dr. Adrian D. C. Chan, Professor, Carleton University
Abstract
Advances in whole slide imaging technology and machine learning, particularly deep learning, have created new opportunities for computational pathology, which can have a significant impact on biomedical research and healthcare. Dr. Chan will present some of his current research projects related to the use of deep learning approaches for histopathology image analysis. Histopathology whole slide images come with a number of challenges, including their enormous size (>50,000 × 50,000 pixels), the large size range of structures, and the heterogeneous presentation of discerning features.
Biography
Dr. Adrian D. C. Chan is a Professor, Department of Systems and Computer Engineering, Carleton University; Director, Collaborative Specialization in Accessibility, Carleton University; Director, Abilities Living Laboratory (ALL), Carleton University; Adjunct Professor, School of Human Kinetics, University of Ottawa; Affiliate Investigator, Bruyère Research Institute; and co-founder of NeuroQore Inc. He is a biomedical engineering researcher with expertise in biomedical signal processing, biomedical image processing, machine learning, noninvasive sensor systems, assistive devices, and accessibility. He is a Registered Professional Engineer, a Senior Member of the IEEE, Fellow of the Canadian Medical and Biological Engineering Society, member of the Biomedical Engineering Society, and 3M Teaching Fellow.
Date and Time
Tuesday, February 4, 2025, 1:00 p.m. in room ITC317, Information Technology Centre, University of New Brunswick, 550 Windsor Street, Fredericton
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