Transfer Learning based Analysis of Chest X-rays for Accurate Lung Disease Detection and Interpretation
subject: chest X-rays; deep learning; lung disease detection; medical imaging; Transfer learning
description: 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.
creator: Perla, Someswari; Veledendi, Sudhakar; Jaiswal, Pooja; Muppidi, Satish; Mandala, Jyothi; Maram, Balajee
source: Proceedings of the 3rd International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics, IITCEE 2025;
publisher: Institute of Electrical and Electronics Engineers Inc.
date: 01-01-2025
rights: Restricted Access; Hardcopy may be available in the library
relation: ISBN: 979-833151591-1;
language: English
type: Conference paper
coverage: Perla S., Gmr Institute of Technology, Department of Cse - Ai&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