MedPrompt: Cross-Modal Prompting for Multi-Task Medical Image Translation

Understand

Cross-modal medical image translation is an essential task for synthesizing missing modality data for clinical diagnosis.

• However, current learning-based techniques have limitations in capturing cross-modal and global features, restricting their suitability to specific pairs of modalities.
• This lack of versatility undermines their practical usefulness, particularly considering that the missing modality may vary for different cases.
• In this study, we present MedPrompt, a multi-task framework that efficiently translates different modalities.