3d Ct

3D computed tomography (CT) image analysis is a rapidly evolving field focused on developing automated methods for interpreting complex 3D volumetric data, primarily to assist radiologists and improve diagnostic accuracy. Current research heavily utilizes deep learning, employing architectures like 3D U-Nets, transformers, and generative adversarial networks (GANs) for tasks such as segmentation, classification (e.g., COVID-19 detection), and even the synthesis of high-quality CT images from lower-resolution sources like X-rays. These advancements hold significant promise for improving diagnostic efficiency, reducing healthcare costs, and enabling more precise treatment planning in various medical applications, including radiation therapy and oncology.