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Computerized Image Analysis

Adrian D. C. Chan

Professor, Department of Systems and Computer Engineering, Carleton University

November 27, 2019 18:00 - 19:30

Minto Case Building Room 2014, Carleton University

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Paid parking available on campus

abstract

Computerized image analysis systems can assist medical doctors in the analysis and/or interpretation of medical images. These systems can automate tasks that are laborious and time-consuming for humans, increase analysis objectivity (i.e., quantitative assessment), and reduce inter- and intra-observer variabilities. Computerized image analysis is relatively new in histopathology, as compared to other medical imaging modalities. With the rise of whole slide scanner technology, there is a growing interest and opportunity for computerized image analysis in histopathology; however, methods developed in more established areas, such as radiographic imaging, are not simply transferable to histopathology due to their differences in appearance in terms of colour and texture and large image size. This talk will focus on two applications for computerized image analysis: 1) Hischsprung's disease, and 2) placenta-mediated diseases.

biography

Adrian D.C. Chan is a Professor with the Department of Systems and Computer Engineering, Director of the NSERC CREATE Research and Education in Accessibility, Design, and Innovation (READi) training program, and co-founder of NeuroQore Inc. He is a biomedical engineering researcher with expertise in biomedical signal processing, biomedical image processing, assistive devices, and noninvasive sensor systems. He served in various leadership positions at Carleton University, including: Associate Dean (Programs and Awards), Faculty of Graduate and Postdoctoral Affairs; Assistant Vice-President (Academic); and interim Associate Vice-President (Teaching and Learning). Dr. Chan has over 100 refereed publications and has been recognized with a number of honours including CMBES’ Outstanding Biomedical Engineer of the Year and the 3M National Teaching Fellowship.