Viral pneumonia screening on chest X-rays using confidence-aware anomaly detection

J Zhang, Y Xie, G Pang, Z Liao… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Clusters of viral pneumonia occurrences over a short period may be a harbinger of an
outbreak or pandemic. Rapid and accurate detection of viral pneumonia using chest X-rays …

[PDF][PDF] Covid-19 screening on chest x-ray images using deep learning based anomaly detection

J Zhang, Y Xie, Y Li, C Shen, Y Xia - arXiv preprint arXiv …, 2020 - researchgate.net
Coronaviruses are important human and animal pathogens. To date the novel COVID-19
coronavirus is rapidly spreading worldwide and subsequently threatening health of billions …

Validating deep learning inference during chest X-ray classification for COVID-19 screening

R Sadre, B Sundaram, S Majumdar, D Ushizima - Scientific reports, 2021 - nature.com
The new coronavirus unleashed a worldwide pandemic in early 2020, and a fatality rate
several times that of the flu. As the number of infections soared, and capabilities for testing …

Artificial intelligence on COVID-19 pneumonia detection using chest xray images

LR Baltazar, MG Manzanillo, J Gaudillo, ED Viray… - Plos one, 2021 - journals.plos.org
Recent studies show the potential of artificial intelligence (AI) as a screening tool to detect
COVID-19 pneumonia based on chest x-ray (CXR) images. However, issues on the datasets …

Deep features to detect pulmonary abnormalities in chest X-rays due to infectious diseaseX: Covid-19, pneumonia, and tuberculosis

MK Mahbub, M Biswas, L Gaur, F Alenezi… - Information Sciences, 2022 - Elsevier
Chest X-ray (CXR) imaging is a low-cost, easy-to-use imaging alternative that can be used
to diagnose/screen pulmonary abnormalities due to infectious diseaseX: Covid-19 …

Deep learning for distinguishing normal versus abnormal chest radiographs and generalization to two unseen diseases tuberculosis and COVID-19

Z Nabulsi, A Sellergren, S Jamshy, C Lau, E Santos… - Scientific reports, 2021 - nature.com
Chest radiography (CXR) is the most widely-used thoracic clinical imaging modality and is
crucial for guiding the management of cardiothoracic conditions. The detection of specific …

Detecting coronavirus from chest X-rays using transfer learning

A Badawi, K Elgazzar - Covid, 2021 - mdpi.com
Coronavirus disease (COVID-19) is an illness caused by a novel coronavirus family. One of
the practical examinations for COVID-19 is chest radiography. COVID-19 infected patients …

A deep-learning pipeline for the diagnosis and discrimination of viral, non-viral and COVID-19 pneumonia from chest X-ray images

G Wang, X Liu, J Shen, C Wang, Z Li, L Ye… - Nature biomedical …, 2021 - nature.com
Common lung diseases are first diagnosed using chest X-rays. Here, we show that a fully
automated deep-learning pipeline for the standardization of chest X-ray images, for the …

Truncated inception net: COVID-19 outbreak screening using chest X-rays

D Das, KC Santosh, U Pal - Physical and engineering sciences in …, 2020 - Springer
Abstract Since December 2019, the Coronavirus Disease (COVID-19) pandemic has caused
world-wide turmoil in a short period of time, and the infection, caused by SARS-CoV-2, is …

COVID-Classifier: An automated machine learning model to assist in the diagnosis of COVID-19 infection in chest x-ray images

A Zargari Khuzani, M Heidari, SA Shariati - Scientific Reports, 2021 - nature.com
Chest-X ray (CXR) radiography can be used as a first-line triage process for non-COVID-19
patients with pneumonia. However, the similarity between features of CXR images of COVID …