A look at computer aided diagnosis research related to breast and cancer research.

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Synopsis

This session will cover computer aided diagnosis research which I have been involved with over the past 25 years, with a strong emphasis on work related to breast and prostate cancer. I will cover a range of more traditional image processing techniques to more recent deep and machine learning techniques, which have been used for segmentation and classification/staging purposes.

About the speaker

Prof. Reyer Zwiggelaar, Department of Computer Science, Aberystwyth University

Reyer Zwiggelaar received the Ir. degree in applied physics from the State University Groningen, Groningen, The Netherlands, in 1989, and the Ph.D. degree in electronic and electrical engineering from University College London, London, U.K., in 1993.

He is currently Professor in Computer Science (and Head of the Graduate School) at Aberystwyth University, Aberystwyth, U.K. Professor Zwiggelaar has published over 300 publications in JCR journals and peer reviewed conferences. According to Google Scholar he has an h-index equal to 32.

He has attracted in excess of £5,000,000 in research funding, mainly as principal investigator, from RCUK/HEFCW. He has supervised 17 PhDs to completion and he is currently supervising 6 PhDs. He is Associate Editor of Journal of Biomedical and Health Informatics and Associate Editor of Pattern Recognition.

Our events are for adults aged 16 years and over.

This event is brought to you by: BCS Mid-Wales branch

Webinar: Research at the Interface between Comp Sci and Medical Image Understanding
Date and time
Monday 15 March, 6:15pm - 7:45pm
Location
Webinar
Price
This event is sold out