Explore a 32-minute presentation by Sheldon Fernandez at the Toronto Machine Learning Series (TMLS) on COVID-Net, a neural network designed for COVID-19 detection and risk stratification using chest radiography. Gain insights into the operational benefits of this technology, including improved diagnostic sensitivity and risk stratification capabilities. Discover the rapid development process of COVID-Net, facilitated by advanced explainability technology. Learn how this innovative approach combines machine learning with medical imaging to enhance COVID-19 diagnosis and patient risk assessment.
COVID-Net for COVID Detection and Risk Stratification via Chest Radiography
Toronto Machine Learning Series (TMLS) via YouTube
Overview
Syllabus
Sheldon Fernandez - COVID-Net for COVID detection and risk stratification via chest radiography
Taught by
Toronto Machine Learning Series (TMLS)
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