Chest computed tomography findings of coronavirus disease 2019 (COVID-19) pneumonia
F Fu, J Lou, D Xi, Y Bai, G Ma, B Zhao, D Liu, G Bao… - European …, 2020 - Springer
Objective To retrospectively analyze the chest computed tomography (CT) features in
patients with coronavirus disease 2019 (COVID-19) pneumonia. Methods From January 9 …
patients with coronavirus disease 2019 (COVID-19) pneumonia. Methods From January 9 …
Computer-aided diagnosis of COVID-19 from chest x-ray images using hybrid-features and random forest classifier
In recent years, a lot of attention has been paid to using radiology imaging to automatically
find COVID-19.(1) Background: There are now a number of computer-aided diagnostic …
find COVID-19.(1) Background: There are now a number of computer-aided diagnostic …
Decoding COVID-19 pneumonia: comparison of deep learning and radiomics CT image signatures
H Wang, L Wang, EH Lee, J Zheng, W Zhang… - European journal of …, 2021 - Springer
Purpose High-dimensional image features that underlie COVID-19 pneumonia remain
opaque. We aim to compare feature engineering and deep learning methods to gain …
opaque. We aim to compare feature engineering and deep learning methods to gain …
Interpretation of CT signs of 2019 novel coronavirus (COVID-19) pneumonia
J Wu, J Pan, D Teng, X Xu, J Feng, YC Chen - European radiology, 2020 - Springer
Objectives To characterize and interpret the CT imaging signs of the 2019 novel coronavirus
(COVID-19) pneumonia in China. Materials and methods The CT images of 130 patients …
(COVID-19) pneumonia in China. Materials and methods The CT images of 130 patients …
CT features of coronavirus disease 2019 (COVID-19) pneumonia in 62 patients in Wuhan, China
S Zhou, Y Wang, T Zhu, L Xia - American Journal of …, 2020 - Am Roentgen Ray Soc
OBJECTIVE. The purpose of this study was to investigate 62 subjects in Wuhan, China, with
laboratory-confirmed coronavirus disease (COVID-19) pneumonia and describe the CT …
laboratory-confirmed coronavirus disease (COVID-19) pneumonia and describe the CT …
Classification of COVID-19 patients from chest CT images using multi-objective differential evolution–based convolutional neural networks
Early classification of 2019 novel coronavirus disease (COVID-19) is essential for disease
cure and control. Compared with reverse-transcription polymerase chain reaction (RT-PCR) …
cure and control. Compared with reverse-transcription polymerase chain reaction (RT-PCR) …
Imaging of COVID-19 pneumonia: patterns, pathogenesis, and advances
COVID-19 pneumonia is a newly recognized lung infection. Initially, CT imaging was
demonstrated to be one of the most sensitive tests for the detection of infection. Currently …
demonstrated to be one of the most sensitive tests for the detection of infection. Currently …
[HTML][HTML] Radiological approach to COVID-19 pneumonia with an emphasis on chest CT
Abstract Coronavirus disease 2019 (COVID-19) has recently become a worldwide outbreak
with several millions of people infected and more than 160 000 deaths. A fast and accurate …
with several millions of people infected and more than 160 000 deaths. A fast and accurate …
COVID-CT-MD, COVID-19 computed tomography scan dataset applicable in machine learning and deep learning
Abstract Novel Coronavirus (COVID-19) has drastically overwhelmed more than 200
countries affecting millions and claiming almost 2 million lives, since its emergence in late …
countries affecting millions and claiming almost 2 million lives, since its emergence in late …
The diagnostic evaluation of Convolutional Neural Network (CNN) for the assessment of chest X-ray of patients infected with COVID-19
SUK Bukhari, SSK Bukhari, A Syed, SSH Shah - MedRxiv, 2020 - medrxiv.org
Introduction The main target of COVID-19 is the lungs where it may cause pneumonia in
severely ill patients. Chest X-ray is an important diagnostic test to assess the lung for the …
severely ill patients. Chest X-ray is an important diagnostic test to assess the lung for the …