About this document
8810 20855 1 PB by Nguyễn Đình Khang is a document available to read on EtoBox.
This study explores the use of Convolutional Neural Networks (CNNs) for diagnosing COVID-19 pneumonia through chest X-ray images, focusing on models VGG16, ResNet50, and ResNet101. The ResNet101 model achieved the highest accuracy of 95.42% and demonstrated strong performance metrics including Precision, Recall, and F1-score. The research aims to assist healthcare professionals by developing a web application that streamlines the diagnosis process and reduces manual errors.
- Author
- Nguyễn Đình Khang
- Language
- EN