MSTAC: A Multi-Stage Automated Classification of COVID-19 Chest X-ray Images Using Stacked CNN Models

MSTAC: A Multi-Stage Automated Classification of COVID-19 Chest X-ray Images Using Stacked CNN Models

This study introduces a Multi-Stage Automated Classification (MSTAC) system for COVID-19 chest X-ray (CXR) images, utilizing stacked Convolutional Neural Network (CNN) models. Suspected COVID-19 patients often undergo CXR imaging, making it valuable for disease classification. The study collected CX...

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Bibliographic Details
Main Authors: Thanakorn Phumkuea, Thakerng Wongsirichot, Kasikrit Damkliang, Asma Navasakulpong, Jarutas Andritsch
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Tomography
Subjects:
COVID-19
CXR
deep learning
CNN
multiclass model
Online Access:https://www.mdpi.com/2379-139X/9/6/173

Internet

https://www.mdpi.com/2379-139X/9/6/173

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