HUydra: Full-Range Lung CT Synthesis via Multiple HU Interval Generative Modelling

1. 1Identify the Hounsfield Unit (HU) range for lung CT scans
2. 2Develop a generative model that can synthesize full-range lung CT scans
3. 3Train the model using multiple HU interval generative modeling
4. 4Validate the synthesized data using metrics such as accuracy and diversity

Medical imaging researchers and AI engineers can benefit from HUydra to improve computer-aided diagnosis models, while clinicians can use the synthesized data to enhance patient outcomes

💡 Generative AI can be used to synthesize realistic medical imaging data, improving computer-aided diagnosis models

💡 HUydra synthesizes full-range lung CT scans using generative AI, addressing data scarcity in medical imaging!