Work

Detecting Diseases Using Chest X-Ray Images and Pre-Trained Machine Learning Models

Year: 2025

Type: article

Abstract: Chest X-ray imaging is an essential diagnostic tool for identifying various thoracic diseases such as pneumonia, tuberculosis, and COVID-19. The advent of deep learning, particularly pre-trained convolutional neural networks (CNNs), has significantly improved the automation and accuracy of disease detection in medical imaging. This paper investigates the use of several state-of-the-art pre-trained CNN architectures for detecting diseases from chest X-ray images. The models are fine-tuned and evaluated on publicly available datasets. Performance metrics such as accuracy, sensitivity, specificity, and F1-score are analyzed to demonstrate the effectiveness of transfer learning for medical diagnosis.

Source: International Journal of Science and Research (IJSR)

DOI: 10.21275/sr25923155811

Authors: Nadiminti Venkata Ramana Murty, M Anil

Institution: Gayatri Vidya Parishad College for Degree and PG Courses (Autonomous)

Language: English

Topic: COVID-19 diagnosis using AI

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: diamond

OpenAlex ID: W4415030110