e-Newsletter: January 2022
Vancouver Section AGM March 30th – save the date!The Annual General Meeting (AGM) is held annually by the Vancouver Section to conduct certain formal business of the Section after the year-end. In addition to conducting the official business of the Section, the AGM provides an opportunity for recognizing and honouring outstanding individuals and groups within the Section. Due to current COVID concerns and limitations, the AGM will be held online once again. Though we will not be able to enjoy a full in-person “gala” event, we are planning an interesting and interactive event for our members and friends – an outstanding keynote speaker and the opportunity to network with your friends and colleagues! |
Officer Nominations and ElectionsThe Vancouver Section announces its proposed slate of Section Officers for 2022.
Any Section member (above the grade of Student Member) who wishes to run for one of the above elected Section Officer positions must be nominated by petition. |
Affinity Groups and Chapter Officer Nominations and ElectionThe Vancouver Section announces its proposed slate of Affinity Group and Chapter Officers for 2022. Any Section member (above the grade of Student Member) who wishes to run for one of the above elected Affinity Group or Chapter Officer positions must be nominated by petition. |
Student Scholarship ApplicationsEach year the IEEE Vancouver Section awards several student scholarships. This year marks the introduction of the fourth award in honour of John S. MacDonald, bringing the total available awards to $6,000. The Vancouver Section of the IEEE will award up to four $1,500 scholarships to students who best meet the objectives of the Scholarship Awards in 2022. The award competition is open to undergraduate and graduate IEEE student members within the Vancouver Section’s geographic area (province of BC, excluding Vancouver Island). The deadline for sending the application is Friday, March 4th 2022 at 11:59PM. For more information, including award objectives and instructions on how to apply, please review the Invitation for Student Scholarship Applications |
Upcoming Events
Artificial Intelligence and Digital pathology: Dealing with the Annotation BottleneckOrganizer: Thursday, January 20, 11:00 am to 12:00 pm. Online The introduction of scanners that are capable of digitizing microscopic slides at high magnification has led to an explosion of interest in computational pathology in general and deep learning applied to whole slide images (WSIs) in particular. In my lab at Sunnybrook, we are developing AI models that can detect cancer, automatically segment regions of interest, and learn predictive and prognostic models that can be used to guide treatment decisions. Anne Martel is a Professor in Medical Biophysics at the University of Toronto, a Senior Scientist at Sunnybrook Research Institute, and a Vector Faculty Affiliate. Her research program is focused on medical image and digital pathology analysis, particularly on applications of machine learning for segmentation, diagnosis, and prediction/prognosis. |
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This is a regular publication of the IEEE Vancouver Section.
Editor:
Dr Chris Scholefield
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