IEEE Ottawa Section June 2019 Newsletter Continued View in Browser
June 2019 Newsletter Continued
Presented by the Ottawa Section PHO Chapter, EMBS Chapter, CS Chapter, and SP Chapter Jointly with Vitesse Reskilling:
IEEE Ottawa Seminar Series on AI and Machine Learning - Application of Deep Learning for Medical Image Analysis By Fatemeh Zabihollahy Carleton University
Date: June 26th, 2019
Time: 11:30 AM to 1:30 PM
Location: Vitesse Re-skill, 359 Terry Fox Drive, Suite 200, Kanata K2K 2E7
Abstract
Medical imaging, (e.g., computed tomography (CT), magnetic resonance imaging (MRI), positron emission tomography (PET), mammography, ultrasound, X-ray) has advanced at a rapid speed over last decades. Currently, the medical image interpretation is mostly performed by human experts, which is a tedious task and subject to high inter-operator variability. Deep learning is providing exciting solutions for medical image analysis problems. Recent advances in deep learning have helped to identify, classify, and quantify patterns in medical images. In this seminar, we introduce the principles and methods of deep learning concepts, particularly convolutional neural network (CNN). We show how CNN operates. I will describe several interesting applications of deep learning for medical image analysis, including my recent works on segmenting myocardial scar (injured) tissue in the heart, prostate tumor detection, and kidney lesion localization in 3D MRI and CT images.
Speaker Bio
Fatemeh Zabihollahy is currently a Ph.D. candidate at Carleton University. She obtained her MASc (2016) and BASc (2001) both in Biomedical Engineering from Carleton University, Canada and Shahid Beheshti University, Iran, respectively. She worked in the medical devices industry as an R&D engineer for ten years. Her research interest is in the field of application of deep learning techniques for medical image analysis.
Event is free, but space is limited. All participants must register in advance.
