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G. I. Okolo, S, Katsigiannis, N, Ramzan, “IEViT: An enhanced vision transformer architecture for chest X-ray image classification”, Computer Methods and Programs in Biomedicine, Vol. 226, 2022, 107141, ISSN 0169-2607

The research study examines the performance of the Vision Transformer (ViT) state-of-the-art image classification machine learning model for the task of chest X-ray image classification, and then propose and evaluate the Input Enhanced Vision Transformer (IEViT), a novel enhanced Vision Transformer model that can achieve improved performance on chest X-ray images associated with various pathologies.