The page has been published at https://subro608.github.io/Final-chest-xray-deploy/index.html.
The COVID-19 outbreak has resulted in a global pandemic and led to more than a million deaths todate. COVID-19 early detection is essential for its mitigation by controlling its spread from infectedpatients in communities through quarantine. Although vaccination has started, it will take time toreach everyone, especially in developing nations, and computer scientists are striving to come up withcompetent methods using image analysis. In this work we use three CNN models trained from scratch to detect Covid-19 patients from chest Xray images. THe predictions from the three models are then combined using Sugeno fuzzy integral method and Choquet fuzzy integral method. For using the fuzzy integral based ensemble methods we have to determine the fuzzy measure values. For this we have used Optimization algorithms on the validation dataset to get the highest accuracy score by varying the values of the fuzzy measure values. As discussed in the above the determination of fuzzy measure values for Sugeno Fuzzy integral method is shown in 
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Aggregation refers to the process of collecting performance scores of each classifier intoa single global score. The function that is used to combine the scores into a single global score is knownas aggregation operator. Normally as the aggregation operator, we have weighted average or quasi arithmetic means butin our case it is the Choquet and Sugeno fuzzy integral operator. The advantage of using them is tha they harnesses the degree of uncertainty that is present in the decision scores that we get as additional information during the fusion of classifiers which is absent in normal ensembling methods. So the end result is the generalization of aggregation operators on a set of confidence scores which are known as fuzzy measures. These fuzzy measures are weighted values given to each classifier.
The pseudocode for Choquet Fuzzy integral method is 
And the pseudocode for Sugeno Fuzzy integral method is 