The author presents GuideGen, a framework that generates CT images and tissue masks for abdominal organs and colorectal cancer based on text prompts. By leveraging generative neural models, the pipeline ensures high fidelity and variability in image generation.
Generative neural models enable high-fidelity synthesis of medical images guided by text prompts.