RADIC: A tool for diagnosing COVID-19 from chest CT and X-ray scans using deep learning and quad-radiomics

O Attallah - Chemometrics and Intelligent Laboratory Systems, 2023 - Elsevier
Deep learning (DL) algorithms have demonstrated a high ability to perform speedy and
accurate COVID-19 diagnosis utilizing computed tomography (CT) and X-Ray scans. The …

A deep learning integrated radiomics model for identification of coronavirus disease 2019 using computed tomography

X Zhang, D Wang, J Shao, S Tian, W Tan, Y Ma, Q Xu… - Scientific reports, 2021 - nature.com
Since its first outbreak, Coronavirus Disease 2019 (COVID-19) has been rapidly spreading
worldwide and caused a global pandemic. Rapid and early detection is essential to contain …

An efficient deep learning model to detect COVID-19 using chest X-ray images

S Chakraborty, B Murali, AK Mitra - International Journal of Environmental …, 2022 - mdpi.com
The tragic pandemic of COVID-19, due to the Severe Acute Respiratory Syndrome
coronavirus-2 or SARS-CoV-2, has shaken the entire world, and has significantly disrupted …

An integrated framework with machine learning and radiomics for accurate and rapid early diagnosis of COVID-19 from Chest X-ray

M Tamal, M Alshammari, M Alabdullah… - Expert systems with …, 2021 - Elsevier
The objective of the research article is to propose and validate a combination of machine
learning and radiomics features to detect COVID-19 early and rapidly from chest X-ray …

A radiomics‐boosted deep‐learning model for COVID‐19 and non‐COVID‐19 pneumonia classification using chest x‐ray images

Z Hu, Z Yang, KJ Lafata, FF Yin, C Wang - Medical physics, 2022 - Wiley Online Library
Purpose To develop a deep learning model design that integrates radiomics analysis for
enhanced performance of COVID‐19 and non‐COVID‐19 pneumonia detection using chest …

Fast deep learning computer-aided diagnosis of COVID-19 based on digital chest x-ray images

MA Al-Antari, CH Hua, J Bang, S Lee - Applied Intelligence, 2021 - Springer
Abstract Coronavirus disease 2019 (COVID-19) is a novel harmful respiratory disease that
has rapidly spread worldwide. At the end of 2019, COVID-19 emerged as a previously …

[PDF][PDF] Machine Learning Based Identification of Covid-19 From Lung Segmented CT Images Using Radiomics Features

MS Natarajan, KV Anantha… - Biosc. Biotech. Res …, 2021 - researchgate.net
At recent times as the COVID 19 pandemic surges in global level, this research article aims
at presenting an efficient support system for the physicians in diagnosing the COVID 19 …

Application of machine learning and deep learning techniques for Covid-19 screening using radiological imaging: a comprehensive review

A Lasker, SM Obaidullah, C Chakraborty, K Roy - SN computer science, 2022 - Springer
Lung, being one of the most important organs in human body, is often affected by various
SARS diseases, among which COVID-19 has been found to be the most fatal disease in …

CT radiomics facilitates more accurate diagnosis of COVID-19 pneumonia: compared with CO-RADS

H Liu, H Ren, Z Wu, H Xu, S Zhang, J Li, L Hou… - Journal of translational …, 2021 - Springer
Background Limited data was available for rapid and accurate detection of COVID-19 using
CT-based machine learning model. This study aimed to investigate the value of chest CT …

Development and validation of an automated radiomic CT signature for detecting COVID-19

J Guiot, A Vaidyanathan, L Deprez, F Zerka… - Diagnostics, 2020 - mdpi.com
The coronavirus disease 2019 (COVID-19) outbreak has reached pandemic status. Drastic
measures of social distancing are enforced in society and healthcare systems are being …