A Generalist Model for Diverse Text-Guided Medical Image Synthesis

Understand

Deep learning algorithms require extensive data to achieve robust performance.

• However, data availability is often restricted in the medical domain due to patient privacy concerns.
• Synthetic data presents a possible solution to these challenges.
• Image generative models have found increasing use for medical applications, but are often task-specific, thus limiting their scalability.