Skip to main content
Computer, Electrical and Mathematical Sciences and Engineering
CEMSE
Computer, Electrical and Mathematical Sciences and Engineering
Home
Study
Prospective Students
Current Students
Internships
Research
Research Overview
Research Areas
Research Groups
Programs
Applied Mathematics and Computational Sciences
Computer Science
Electrical and Computer Engineering
Statistics
People
All People
Faculty
Affiliate Faculty
Instructional Faculty
Research Scientists
Research Staff
Postdoctoral Fellows
Students
Alumni
Administrative Staff
News
Events
About
Who We Are
Message from the Dean
Leadership Team
Apply
model development
CT-based COVID-19 Diagnosis and Prognosis through Novel AI Model Development
Xin Gao, Program Chair, Computer Science
Apr 18, 16:00
-
17:00
B2 L5 R5220
CT-based
COVID-19
Diagnosis
Prognosis
novel methodology
model development
During the recent pandemic, urgent advances have been made by the scientific community in developing artificial intelligence (AI)-based computer-aided systems for CT-based COVID-19 diagnosis. In this talk, I will introduce our work on a fully-automatic, rapid, accurate, and machine-agnostic method that can segment and quantify the infection regions on CT scans from different sources.