Abstract: The use of generative AI in healthcare has become increasingly popular. This paper aims to enhance the quality of CT images using Super-Resolution Generative Adversarial Networks (SRGAN). We ...

Abstract: Recent advances in Super-Resolution (SR) image reconstruction using Convolutional Neural Networks (CNNs) have encountered significant challenges in effectively modeling the complex mapping ...

This presents an implementation of a Generative Pre-trained Transformer (GPT) model, focusing on comparing the performance and effectiveness of Kolmogorov-Arnold Networks (KANs) and traditional ...