Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Chest Diseases Prediction from X-ray Images using CNN Models: A Study Subject The topic of the resource Convolutional neural networks; DenseNet201; ResNet50V2; VGG19 Description An account of the resource Chest Disease creates serious health issues for human beings all over the world. Identifying these diseases in earlier stages helps people to treat them early and save their life. Conventional Neural Networks play an important role in the health sector especially in predicting diseases in the earlier stages. X-rays are one of the major parameters which help to identify Chest diseases accurately. In this paper, we study the prediction of chest diseases such as Pneumonia, COVID-19, and Tuberculosis (TB) from the X-ray images. The prediction of these diseases is analyzed with the support of three CNN Models such as VGG19, Resnet50V2, and Densenet201, and results are elaborated in the terms of Accuracy and Loss. Though all three models are highly accurate and consistent, considering the factors like architectural size, training speed, etc. Resnet50V2 is the best model for all three diseases. It trained with F1 score accuracies of 0.98,0.92,0.97 for pneumonia, tuberculosis, covid respectively. 2021 Creator An entity primarily responsible for making the resource Mangeri L.; Gnana Prakasi O.S.; Kanmani P.; Puppala N. Source A related resource from which the described resource is derived International Journal of Advanced Computer Science and Applications, Vol-12, No. 10, pp. 236-243. Publisher An entity responsible for making the resource available Science and Information Organization Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.14569/IJACSA.2021.0121026" target="_blank" rel="noreferrer noopener">https://doi.org/10.14569/IJACSA.2021.0121026</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119699020&amp;doi=10.14569%2FIJACSA.2021.0121026&amp;partnerID=40&amp;md5=45294e284de33c083b8841ce159337c9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119699020&amp;doi=10.14569%2fIJACSA.2021.0121026&amp;partnerID=40&amp;md5=45294e284de33c083b8841ce159337c9</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 2158107X Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Mangeri L., Research Scholar, Computer Science &amp; Engineering, CHRIST University, Bangalore, India; Gnana Prakasi O.S., Computer Science &amp; Engineering, CHRIST University, Bangalore, India; Kanmani P., Computer Science &amp; Engineering, CHRIST University, Bangalore, India; Puppala N., Electronics &amp; Communication Engineering, CHRIST University, Bangalore, India