Artificial Computed Tomography Images with Progressively Growing Generative Adversarial Network

Applications of artificial intelligence in medical imaging include classification, segmentation, and treatment planning. Using current deep-learning techniques, developing these systems requires large amounts of labelled training data. Obtaining this data is challenging due to costs, required expertise, inconsistency of imaging procedures and formatting, and patient privacy concerns. Generative ad...