Computed Tomography

Computed tomography (CT) is a crucial medical imaging technique aiming to produce detailed cross-sectional images of the body's internal structures. Current research heavily focuses on improving image quality through advanced algorithms like diffusion models and generative adversarial networks (GANs), often incorporating physics-based simulations to address noise and artifacts, and enhancing segmentation accuracy using deep learning architectures such as U-Nets and Transformers. These advancements are significantly impacting medical diagnosis and treatment planning, particularly in oncology and interventional radiology, by enabling more precise lesion detection, improved treatment planning, and reduced radiation exposure.