Applied Intelligence and Computing
Transformative AI in Radiology: Convolutional Neural Networks for Pneumonia Diagnosis
Authors: Vishnu Kant, Kanwarpartap Singh Gill, Mukesh Kumar and Ruchira Rawat
Publishing Date: 09-12-2024
ISBN: 978-81-955020-9-7
Abstract
Pneumonia, a severe bacterial infection primarily caused by Streptococcus pneumonia, can impact one or both lungs and poses a significant health threat to individuals worldwide. According to the World Health Organization (WHO), pneumonia is responsible for one-third of all deaths in India. Traditionally, chest X-rays are used to diagnose pneumonia, necessitating interpretation by skilled radiologists. Implementing an automated diagnostic system could significantly enhance early detection and treatment, particularly in remote areas. Convolutional Neural Networks (CNNs) have gained considerable attention for their ability to analyze medical images due to their deep learning capabilities. These CNN-based approaches offer notable advantages over traditional methods, including improved accuracy, scalability, and potential for automation. We propose leveraging deep learning techniques to uncover complex patterns in medical imaging data that are indicative of pneumonia, thereby improving diagnostic precision. Furthermore, pre-trained CNN models, which have been trained on large datasets, provide valuable features for image classification tasks. In this study, we evaluate the effectiveness of these models in differentiating between abnormal and normal chest X-rays by using them as feature extractors in conjunction with various classifiers. The research also includes a thorough analysis to identify the most effective CNN model for this diagnostic task
Keywords
Machine Learning, image processing, CNNmodel, Classifier Evaluation, Artificial Intelligence, pneumonia, Techniques, Diseases, Population, Resources, Medical, Health.
Cite as
Vishnu Kant, Kanwarpartap Singh Gill, Mukesh Kumar and Ruchira Rawat, "Transformative AI in Radiology: Convolutional Neural Networks for Pneumonia Diagnosis", In: Mukesh Saraswat and Rajani Kumari (eds), Applied Intelligence and Computing, SCRS, India, 2024, pp. 169-176. https://doi.org/10.56155/978-81-955020-9-7-18