Skip to main content
King Abdullah University of Science and Technology
Advanced Semiconductor Laboratory
Advanced Semiconductor Laboratory

Main navigation

  • Home
  • People
    • All Profiles
    • Principal Investigators
    • Research Scientists
    • Postdoctoral Fellows
    • Students
    • Alumni
    • Former Members
    • Visiting Scholars
  • Events
    • All Events
    • Events Calendar
  • News

CT-based

CT-based COVID-19 Diagnosis and Prognosis through Novel AI Model Development

Xin Gao, Professor, 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.

Advanced Semiconductor Laboratory (ASL)

Footer

  • A-Z Directory
    • All Content
    • Browse Related Sites
  • Site Management
    • Log in

© 2025 King Abdullah University of Science and Technology. All rights reserved. Privacy Notice

Disclaimer: The views and opinions expressed in this page are strictly those of the page author. The contents of this page have not been reviewed or approved by the King Abdullah University of Science and Technology.