Artificial intelligence for COVID-19 recognition

Speaker:  Yu-Dong Zhang – Leicester, United Kingdom
Topic(s):  Artificial Intelligence, Machine Learning, Computer Vision, Natural language processing


A CT scan is a medical imaging technique used in radiology to get detailed images of the body noninvasively for diagnostic purposes. COVID-19 is a pandemic disease that already caused more than 5.4 million deaths until 4/Jan/2022. This talk will discuss the recent advances in developing various artificial intelligence (including deep learning) models and chest CT-based COVID-19 diagnosis methods. This talk will cover two other chest-related diseases: secondary pulmonary tuberculosis and community-acquired pneumonia.

About this Lecture

Number of Slides:  55
Duration:  45 minutes
Languages Available:  English
Last Updated: 

Request this Lecture

To request this particular lecture, please complete this online form.

Request a Tour

To request a tour with this speaker, please complete this online form.

All requests will be sent to ACM headquarters for review.