Generative AI in the Categorisation of Paediatric Pneumonia on Chest Radiographs
Journal Title: International Journal of Current Science Research and Review - Year 2025, Vol 8, Issue 02
Abstract
Paediatric pneumonia is a leading cause of morbidity and mortality worldwide, necessitating accurate and timely diagnosis. This study explores the application of Generative AI for categorising paediatric pneumonia using chest radiographs. Leveraging deep learning techniques, including Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), we enhance image quality, generate synthetic training data, and improve model generalizability. The proposed framework integrates AI-driven feature extraction, convolutional neural networks (CNNs), and attention mechanisms to improve diagnostic accuracy. The results demonstrate significant improvements in classification performance compared to traditional methods, with a focus on interpretability and clinical usability.
Authors and Affiliations
Santosh Kumar
Keywords
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- EP ID EP758947
- DOI 10.47191/ijcsrr/V8-i2-16
- Views 4
- Downloads 0
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