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 Faculty Publications Conference Paper Faculty Publications- Conference Papers 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/. Creator An entity primarily responsible for making the resource Perla, Someswari; Veledendi, Sudhakar; Jaiswal, Pooja; Muppidi, Satish; Mandala, Jyothi; Maram, Balajee Title A name given to the resource Transfer Learning based Analysis of Chest X-rays for Accurate Lung Disease Detection and Interpretation Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Proceedings of the 3rd International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics, IITCEE 2025; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/IITCEE64140.2025.10915373" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/IITCEE64140.2025.10915373</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105001552491?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105001552491?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Perla S., Gmr Institute of Technology, Department of Cse - Ai&amp;ml, Andhra Pradesh, Rajam, India; Veledendi S., Sr University, School of Computer Science and Artificial Intelligence, Warangal, India; Jaiswal P., Galgotias University, India; Muppidi S., Gmr Institute of Technology, Departnent of Computer Science and Engineering, Rajam, India; Mandala J., Christ(Deemed to be) University, Department of Computer Science and Engineering, Banglore, India; Maram B., Sr University, School of Computer Science and Artificial Intelligence, Telangana, Warangal, 506371, India Description An account of the resource This is a research paper based on a transfer learning approach with a primary aim at the analysis of chest Xrays for accurate detection and interpretation of lung diseases. The proposed method relies heavily on the use of pretrained deep learning models to enhance diagnostic accuracy and reduce the time and computational resources taken during training. Applying transfer learning to a large chest X-ray dataset, the model successfully detects key patterns associated with common lung diseases, such as pneumonia and tuberculosis. The manuscript encompasses data preprocessing, model finetuning, and performance evaluation and demonstrates huge improvements over the traditional methods both in terms of accuracy and interpretability. It has been experimentally proven that the model is competent enough to provide localization of disease areas, as it can be visualized through heatmaps obtained from predictions, which might further help the radiologists perform their diagnosis tasks. This work advocates for medical imaging automation for the early and efficient detection of lung disease. 2025 IEEE. Subject The topic of the resource chest X-rays; deep learning; lung disease detection; medical imaging; Transfer learning Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833151591-1; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online