Intelligent pneumonia identification from chest x-rays: A systematic literature review
Chest radiography is a significant diagnostic tool used to detect diseases afflicting the chest.
The automatic detection techniques associated with computer vision are being adopted in …
The automatic detection techniques associated with computer vision are being adopted in …
[HTML][HTML] Impact of lung segmentation on the diagnosis and explanation of COVID-19 in chest X-ray images
COVID-19 frequently provokes pneumonia, which can be diagnosed using imaging exams.
Chest X-ray (CXR) is often useful because it is cheap, fast, widespread, and uses less …
Chest X-ray (CXR) is often useful because it is cheap, fast, widespread, and uses less …
[HTML][HTML] COVID-19 and pulmonary fibrosis: therapeutics in clinical trials, repurposing, and potential development
J Yim, HH Lim, Y Kwon - Archives of pharmacal research, 2021 - Springer
In 2019, an unprecedented disease named coronavirus disease 2019 (COVID-19) emerged
and spread across the globe. Although the rapid transmission of COVID-19 has resulted in …
and spread across the globe. Although the rapid transmission of COVID-19 has resulted in …
[HTML][HTML] Machine learning research towards combating COVID-19: Virus detection, spread prevention, and medical assistance
COVID-19 was first discovered in December 2019 and has continued to rapidly spread
across countries worldwide infecting thousands and millions of people. The virus is deadly …
across countries worldwide infecting thousands and millions of people. The virus is deadly …
[HTML][HTML] Population-based incidence and mortality of community-acquired pneumonia in Germany
C Theilacker, R Sprenger, F Leverkus, J Walker… - PloS one, 2021 - journals.plos.org
Background Little information on the current burden of community-acquired pneumonia
(CAP) in adults in Germany is available. Methods We conducted a retrospective cohort study …
(CAP) in adults in Germany is available. Methods We conducted a retrospective cohort study …
Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumes
Abstract Machine learning models for radiology benefit from large-scale data sets with high
quality labels for abnormalities. We curated and analyzed a chest computed tomography …
quality labels for abnormalities. We curated and analyzed a chest computed tomography …
[HTML][HTML] Deep learning-based improved snapshot ensemble technique for COVID-19 chest X-ray classification
CSR Annavarapu - Applied Intelligence, 2021 - Springer
COVID-19 has proven to be a deadly virus, and unfortunately, it triggered a worldwide
pandemic. Its detection for further treatment poses a severe threat to researchers, scientists …
pandemic. Its detection for further treatment poses a severe threat to researchers, scientists …
Atypical pneumonia: definition, causes, and imaging features
NP Dueck, S Epstein, T Franquet, CC Moore… - Radiographics, 2021 - pubs.rsna.org
Pneumonia is among the most common causes of death worldwide. The epidemiologic and
clinical heterogeneity of pneumonia results in challenges in diagnosis and treatment. There …
clinical heterogeneity of pneumonia results in challenges in diagnosis and treatment. There …
Imaging algorithm for COVID-19: A practical approach
The global pandemic of COVID-19 pneumonia caused by the novel coronavirus (SARS-CoV-
2) has strained healthcare resources across the world with emerging challenges of mass …
2) has strained healthcare resources across the world with emerging challenges of mass …
[HTML][HTML] The Added Value of [18F]FDG PET/CT in the Management of Invasive Fungal Infections
AO Ankrah, D Creemers-Schild, B De Keizer, HC Klein… - Diagnostics, 2021 - mdpi.com
Anatomy-based imaging methods are the usual imaging methods used in assessing
invasive fungal infections (IFIs).[18F] FDG PET/CT has also been used in the evaluation of …
invasive fungal infections (IFIs).[18F] FDG PET/CT has also been used in the evaluation of …