Auto-detection of the coronavirus disease by using deep convolutional neural networks and X-ray photographs

AMA Hussein, AG Sharifai, OM Alia, L Abualigah… - Scientific reports, 2024 - nature.com
The most widely used method for detecting Coronavirus Disease 2019 (COVID-19) is real-
time polymerase chain reaction. However, this method has several drawbacks, including …

COVID-19 classification based on a deep learning and machine learning fusion technique using chest CT images

GM Salama, A Mohamed, MK Abd-Ellah - Neural Computing and …, 2024 - Springer
Abstract Coronavirus disease (COVID-19), impacted by SARS-CoV-2, is one of the greatest
challenges of the twenty-first century. COVID-19 broke out in the world over the last 2 years …

Deep learning models/techniques for COVID-19 detection: a survey

K Archana, A Kaur, Y Gulzar, Y Hamid… - Frontiers in Applied …, 2023 - frontiersin.org
The early detection and preliminary diagnosis of COVID-19 play a crucial role in effectively
managing the pandemic. Radiographic images have emerged as valuable tool in achieving …

Viral Pneumonia Detection from Chest X-rays using GLCM and LBP features

PAJ Shah, D Sankar - 2023 Global Conference on Information …, 2023 - ieeexplore.ieee.org
The early contact less detection of viral pneumonia is important as the virus have the ability
to mutate and adapt frequently resulting in an epidemic situation or potential pandemic in a …

KLASIFIKASI PNEUMONIA PADA CITRA X-RAY PARU-PARU MENGGUNAKAN ALGORITMA NAIVE BAYES

FA Ariansyah, K Kartini… - JUTIM (Jurnal Teknik …, 2024 - jurnal.univbinainsan.ac.id
Penelitian ini menguji efektivitas metode ekstraksi ciri Local Binary Model (LBP)–Gray Level
Co-occurrence Matrix (GLCM) dan algoritma klasifikasi Naive Bayes dalam mengenali citra …