Deep learning for medical image analysis
Deep learning for medical image analysis
Computing Technologies for Healthcare - School of Computing Science
Date: Tuesday 02 November 2021
Time: 15:00 - 16:00
Venue: Computing Technologies for Healthcare (zoom online)
Category: Public lectures, Academic events, Student events, Staff workshops and seminars
Speaker: Dr. Alison ONeil, Canon Medical Research Europe Ltd
Website: samoa.dcs.gla.ac.uk/events/viewtalk.jsp?id=17830
Radiologists are under pressure to handle an ever-increasing volume of medical imaging. In the meantime, deep learning solutions have demonstrated impressive performance for imaging tasks of classification, segmentation and translation, opening up opportunities for AI to assist and automate imaging workflows. Training deep learning solutions for real-world healthcare applications involves ethical, legal and practical performance considerations. As we look to scale deep learning to a wide range of clinical applications, we also need to find ways to reduce reliance on pixel-level expert annotations whilst retaining clinically acceptable accuracy. This talk will cover some of Canon’s research in this area.
Biography:
Dr Alison Q O’Neil is a Principal Scientist in the AI Research Team at Canon Medical Research Europe and Honorary Research Fellow at the University of Edinburgh. She leads an AI Research team at Canon who focus on imaging and natural language processing for healthcare problems. Her research interests span techniques for learning with less, multimodal learning, knowledge informed machine learning, and causality.
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