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As a result, the encoder learns to discriminate positive and negative samples for enhancing the intra-class similarity and inter-class difference. Finally, we learn the classifier C to predict the pneumonia classification results y^ using the standard cross-entropy loss Lce, which is defined as:(...
To comparison with the literature, we also report the result in terms of Area Under the Receiver Operating Curve (AUC). The Receiver Operating Curve is a plot of true positive rate (A.K.A. sensitivity = SeC) versus false positive rate (FPR). The FPR is define by Equation (4).(4)FPR...
Planful problem-solving may be used mainly when a crisis is prolonged and/or personal gains (e.g., more free time) result from the strategies used. Positive reappraisal may be applied mainly by adolescents who have high self-reflection. ...
Step 1: As input, use CXR images (COVID-positive, negative or pneumonia images)Step 2: Resize the size of the training pictures to 224 × 224 × 3 pixelsStep 3: Load pre-trained models like VGG16, GoogleNet and Xception. Let the feature maps for VGG16, GoogleNet and Xception are deno...
Probable deaths are deaths where Covid-19 is listed on the death certificate as the cause of death or a significant contributing condition, but where there has been no positive confirmatory laboratory test. Deaths among probable cases tracked by a state or local health department where a death ...
Report of prior positive SARS-CoV-2 test result within 90 days of the test date was more common among cases than controls (22.0% vs 13.0% for children; 21.1% vs 15.5% for adolescents), while report of a positive test result more than 90 days before the test date was less common among...
It seems that the most important condition that ensures the positive effect of the considered processes on the innovative and technological potential of the platforms is the specificity of the platform companies themselves. Analysis of the existing works makes it possible to conclude that there are ef...
In short, q values (FDR adjusted p-values) control the number of type I errors in the tests that result in a significant result, when determining adjusted p-values for each test. In the current study, we rejected 15 (62.5%) null hypotheses with q* = 0.05. Simply put, we ...
The dataset was divided into four categories based on previous research: 1) Patients with positive COVID-19 test and normal lungs on CT scan (Normal category); 2) Patients with less than 50% COVID-19 lung involvement (Mild category); 3) Patients with 50% COVID-19 lung involvement (Moder...