10-16 June 2018
Dalhousie University
America/Halifax timezone
Welcome to the 2018 CAP Congress Program website! / Bienvenue au siteweb du programme du Congrès de l'ACP 2018!

Machine Learning for Medical Image Analysis

13 Jun 2018, 17:00
20m
McCain Scotiabank Auditorium (cap. 250) (Dalhousie University)

McCain Scotiabank Auditorium (cap. 250)

Dalhousie University

Plenary Speaker / Conférencier(ère) plénier(ère) Herzberg Public, Plenary, and Medal Talks / Conférenciers des sessions Herzberg, plénières et médaillés (CAP-ACP) W-PLEN1 Plenary Session | Session plénière - Anne Martel, U.Toronto "Machine Learning for Medical Image Analysis"

Speaker

Dr Anne Martel (Sunnybrook Research Institute; Department of Medical Biophysics, University of Toronto)

Description

Over the last decade, machine learning (ML) methods have become increasingly important in medical imaging. In addition to more traditional classification tasks, ML is now being used in many other applications including object search and segmentation, image registration and even image reconstruction. Recent advances in deep learning have accelerated this trend and it is now possible to achieve human level performance in several diagnostic tasks where large databases of labelled images are available. This talk will provide an overview of this rapidly changing field and will describe how convolutional neural networks can be used for classification and segmentation in radiology and digital pathology. The challenges associated with translating deep learning applications into clinical practice will also be explored.

Primary author

Dr Anne Martel (Sunnybrook Research Institute; Department of Medical Biophysics, University of Toronto)

Presentation Materials

There are no materials yet.