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Cancer Image Segmentation for Head and Neck Radiation Therapy Planning

Offered By: Toronto Machine Learning Series (TMLS) via YouTube

Tags

Artificial Intelligence Courses Machine Learning Courses Radiation Therapy Courses Medical Imaging Courses Head and Neck Cancers Courses

Course Description

Overview

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Explore a conference talk on AI-based cancer image segmentation for radiation therapy planning in head and neck cancer. Learn about the Machine Learning Challenge launched by the Vector Institute and Princess Margaret Cancer Centre, which utilized the RADCURE dataset containing imaging, treatment, demographic, and clinical data from 2745 head and neck cancer patients. Gain insights into the potential of AI tools for optimizing therapy planning and segmenting regions of interest. Discover the preliminary work of Dr. Benjamin Haibe-Kains and hear from the winning Challenge team, Fight Tumour, as they discuss their successful submission in this 11-minute presentation moderated by Roxana Sultan from the Vector Institute.

Syllabus

Cancer Image Segmentation


Taught by

Toronto Machine Learning Series (TMLS)

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