Publications by authors named "Nguen Viet Nhung"
Front Med (Lausanne)
July 2020
Article Synopsis
- The COVID-19 pandemic has led to a higher demand for testing methods, with RT-PCR being the most definitive but slower option for diagnosis.
- This study explores using a deep learning-based decision-tree classifier to analyze chest X-ray images for COVID-19 detection and related pneumonia.
- The classifier features three decision trees, achieving high accuracy rates (98% for normal vs. abnormal images, 80% for tuberculosis detection, and 95% for COVID-19), potentially speeding up patient triage before RT-PCR results come in.
