Comparing Convolutional Neural Networks for Covid-19 Detection in Chest X-Ray Images

The study has been conducted to understand the effectiveness of CNN in the case of “COVID-19” detection by using all the X-ray images of the chest. This helps the health sector to facilitate medical performance and conduct the analytical procedure by using ML. The aim and objective of the study have been properly mentioned in the first segment of the study. The issues have also been identified and the second chapter has identified all the previous work related to the study. The methodology segment has illustrated all the methods that have been applied to implement the project. The resulting segment has illustrated all the themes with proper evaluation in a comprehensive way. The last chapter represented a conclusion segment with proper recommendations and future work that can be implemented later.