COVID'19 has caused the entire universe to be in existential health crisis by spreading globally in the year 2020. The lungs infection is detected in Computed Tomography (CT) images which provide the best way to increase the existing healthcare schemes in preventing the...
COVID-19 autopsy reports have shown widespread thrombotic microangiopathy characterized by extensive diffuse microthrombi within peripheral capillaries and arterioles in lungs, hearts, and other organs, resulting in multiorgan failure. However, the underlying process of COVID-19-associated...
A potential complication for the analysis conducted is that some of the COVID-negative patients may have, or have had, other lung conditions that have impacted the conditions of their lungs at the time the CT scans were taken. The large age range of the COVID-negative patients and their ...
Milder symptoms of COVID-19 are seen in 82% of infected cases, while others are severe or dangerous. More than 2.7 million cases of COVID-19 were confirmed worldwide as on April 24, 2020. Approximately 95% of the infected persons can survive the disease, while the remaining 5% of the ...
Compared to Polymerase Chain Reaction (PCR) which is the current gold standard COVID-19 diagnosis test, medical imaging such as computerized tomography (CT) scans of the lungs does not waste consumables. Therefore, CT imaging-based COVID-19 diagnosis is more efficient as it would not be ...
The proposed model for automatic clinical image caption generation combines the analysis of radiological scans with structured patient information from the textual records. It uses two language models, the Show-Attend-Tell and the GPT-3, to generate comp
COVID-19 is the name of the 2019-nCoV illness. According to current evidence, it spreads through speaking, coughing, or breathing at a close range of nearly one meter [1]. The 2019-nCoV virus infects the lungs of a specific person, so we commonly use computed tomography images of the ...
As mentioned earlier, there are two different experiments (on plain and segmented lungs X-ray images) were conducted for the classification of COVID-19, non-COVID lung opacity and normal. The comparative performance of the best performing model for different enhancement techniques for classification...
Comprehensive Tissue Cytometry Analysis of CD3+ T cells in Lungs of COVID-19 Patients The appearance of a novel human coronavirus (SARS-CoV-2) in 2019 resulted in a global pandemic that caused social and economic devastation worldwide. Infection with SARS-CoV-2 has a highly heterogenous present...
X-Ray image-based COVID-19 detection using deep learning Deep learningCNNImage processingClassificationCOVID-19 is a type of respiratory infection that primarily affects the lungs. Obtaining a chest X-ray is one ... AM Ayalew,AO Salau,Y Tamyalew,... - 《Multimedia Tools & Applications》 被...