Pneumonia is acknowledged as a respiratory disease caused by bacterial and, viral or fungal infections and has a high mortality rate. Identification of pneumonia is typically performed with Chest X-Ray image, but hampered by other lung problems that have been experienced by the patient. Therefore, this study proposes a Convolutional Neural Networks method by adding a Gabor filter and an Image Enhancement Preprocessing technique. The application of the Gabor filter obtains the best accuracy with a value of 94.4% and a loss of 44%, while Image Enhancement obtains an accuracy of 87.8% and the best loss of 35.8%. Combining the Gabor filter and Image Enhancement obtains better accuracy and loss of 93.9% and 40% than utilizing these methods separately.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.