Automated detection and forecasting of covid-19 using deep learning techniques: A review
Abstract In March 2020, the World Health Organization (WHO) declared COVID-19 a global
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …
Diagnosis of ventilator-associated pneumonia in critically ill adult patients—a systematic review and meta-analysis
The accuracy of the signs and tests that clinicians use to diagnose ventilator-associated
pneumonia (VAP) and initiate antibiotic treatment has not been well characterized. We …
pneumonia (VAP) and initiate antibiotic treatment has not been well characterized. We …
COVID-19 detection through transfer learning using multimodal imaging data
Detecting COVID-19 early may help in devising an appropriate treatment plan and disease
containment decisions. In this study, we demonstrate how transfer learning from deep …
containment decisions. In this study, we demonstrate how transfer learning from deep …
[HTML][HTML] COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios
Abstract Background and Objective: The COVID-19 can cause severe pneumonia and is
estimated to have a high impact on the healthcare system. Early diagnosis is crucial for …
estimated to have a high impact on the healthcare system. Early diagnosis is crucial for …
Convolutional capsnet: A novel artificial neural network approach to detect COVID-19 disease from X-ray images using capsule networks
Coronavirus is an epidemic that spreads very quickly. For this reason, it has very devastating
effects in many areas worldwide. It is vital to detect COVID-19 diseases as quickly as …
effects in many areas worldwide. It is vital to detect COVID-19 diseases as quickly as …
Viral pneumonia screening on chest X-rays using confidence-aware anomaly detection
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 …
outbreak or pandemic. Rapid and accurate detection of viral pneumonia using chest X-rays …
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] Deep learning framework for rapid and accurate respiratory COVID-19 prediction using chest X-ray images
COVID-19 is a contagious disease that affects the human respiratory system. Infected
individuals may develop serious illnesses, and complications may result in death. Using …
individuals may develop serious illnesses, and complications may result in death. Using …
Prediction of COVID-19 using genetic deep learning convolutional neural network (GDCNN)
RG Babukarthik, VAK Adiga, G Sambasivam… - Ieee …, 2020 - ieeexplore.ieee.org
Rapid spread of Coronavirus disease COVID-19 leads to severe pneumonia and it is
estimated to create a high impact on the healthcare system. An urgent need for early …
estimated to create a high impact on the healthcare system. An urgent need for early …
Lung ultrasound for the diagnosis of pneumonia in adults: a systematic review and meta-analysis
MA Chavez, N Shams, LE Ellington, N Naithani… - Respiratory …, 2014 - Springer
Background Guidelines do not currently recommend the use of lung ultrasound (LUS) as an
alternative to chest X-ray (CXR) or chest computerized tomography (CT) scan for the …
alternative to chest X-ray (CXR) or chest computerized tomography (CT) scan for the …