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 Gray Level Co-occurrence Matrix based Fully Convolutional Neural Network Model for Pneumonia Detection Subject The topic of the resource Chest X-ray; CNN; Diagnostic; Explainability; GLCM; Pneumonia Description An account of the resource This study presents a new method to improve the detection ability of a convolutional neural network (CNN) in pneumonia detection using chest X-ray images. Using Gray-Level Co-occurrence Matrix (GLCM) analysis, additional channels are added to the original image data provided by Guangzhou Children's Hospital in Guangzhou, China. The main goal is to design a lightweight, fully convolution network and increase its available information using GLCM. Performance analysis is performed on the new CNN model and GLCM-enhanced CNN model, and results are compared with Transfer Learning approaches. Various evaluation metrics, including accuracy, precision, recall, F1 score, and AUC-ROC, are used to evaluate the improved analysis performance of CNN. The results showed a significant increase in the ability of the model to detect pneumonia, with an accuracy of 99.57%. In addition, the study evaluates the descriptive properties of the CNN model by analyzing its decision process using Grad-CAM. 2024, J.J. Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology. All rights reserved. Creator An entity primarily responsible for making the resource Prakash S.; Ramamurthy B. Source A related resource from which the described resource is derived International Journal of Electrical and Computer Engineering Systems, Vol-15, No. 4, pp. 369-376. Publisher An entity responsible for making the resource available J.J. Strossmayer University of Osijek , Faculty of Electrical Engineering, Computer Science and Information Technology Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.32985/ijeces.15.4.7" target="_blank" rel="noreferrer noopener">https://doi.org/10.32985/ijeces.15.4.7</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189141874&amp;doi=10.32985%2Fijeces.15.4.7&amp;partnerID=40&amp;md5=df4ffc456be4d27592a5a742bf573196" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189141874&amp;doi=10.32985%2fijeces.15.4.7&amp;partnerID=40&amp;md5=df4ffc456be4d27592a5a742bf573196</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Relation A related resource ISSN: 18476996 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 Prakash S., Computer Science Department, CHRIST (Deemed to be University), Bengaluru, India; Ramamurthy B., Computer Science Department, CHRIST (Deemed to be University), Bengaluru, India