“…The accuracy of normal, pneumonia and COVID-19 was 77.9%, 88.1%, and 81.2% for the CNN and 86.6%, 89%, and 94% for the proposed capsule network. This study [ 60 ] also proposed the use of CNNs for the purpose of classifying CXR images as either healthy, COVID-19, or other viral-induced pneumonia. The dataset used was created from a previous study, which worked to combine public datasets of COVID-19 and other pneumonia images, along with normal images.…”