Wolfram Screencast & Video Gallery

This page requires that JavaScript be enabled in your browser.
Learn how »

DNN Detection and Clinical Staging of COVID-19 Chest X-rays

Wolfram and other DNNs were adapted for COVID-19 detection on chest x-rays with up to 100% accuracy on 1,200 training images. Another DNN had 80% accuracy for COVID-19 staging on 80 images. Methods to improve training data with routine and AI-assisted quality assurance are discussed and assessed.

Was this video helpful?

Channels: Technology Conference

SORT BY: Latest | A-Z
1311 videos match your search.
Tom Wickham-Jones, Abdul Dakkak & Steve Wilson
Roman Maeder
John Fultz
Heidy Hernandez
Sebastian Bodenstein
Nick Lariviere
Mark Sofroniou
Christopher Wolfram
Todd Gayley
Nick Zitzmann
Fahim Chandurwala
Matthias Odisio
Jan Brugard
Charles Pooh, Jae Bum, & Yan Zhuang
Yuzhu-Lu
Markus van Almsick
Malte Lenz
Oliver Ruebenkoenig
Seth Chandler
Maik Meusel and Carlos Chida