Detecting COVID-19 from Chest X-Ray Images using a Lightweight Deep Transfer Learning Model with Improved Contrast Enhancement Technique

• Main Authors: Bacad, Dave Jammin A, Abu, Patricia Angela R
• Format: text
• Published: Archīum Ateneo 2021
• Subjects: COVID-19; deep learning; adaptation models; pulmonary diseases; transfer learning; pipelines; lung; chest x-ray; image processing; Computer Sciences; Databases and Information Systems; Public Health; Pulmonology
• Online Access: https://archium.ateneo.edu/discs-faculty-pubs/246; https://ieeexplore.ieee.org/document/9664676
• Institution: Ateneo De Manila University

Despite the vaccinations; the emergence of new and more contagious variants of the COVID-19 disease has continued to pose threats and challenges to our lives. Until herd immunity is achieved; it is important to continuously perform screening tests to control and minimize the transmissions. Due to th...