Chest CT

Chest CT analysis is a crucial medical imaging technique aimed at detecting and characterizing various lung pathologies, including cancer and infectious diseases like COVID-19. Current research heavily emphasizes the development of automated diagnostic tools using deep learning models, such as convolutional neural networks (CNNs), transformers, and generative adversarial networks (GANs), often incorporating techniques like self-supervised learning and contrastive learning to address data scarcity and improve model generalizability. These advancements aim to improve diagnostic accuracy, efficiency, and accessibility, ultimately assisting radiologists and improving patient care. Furthermore, research focuses on enhancing explainability and robustness of these models to ensure reliable clinical translation.