Medical Image Synthesis with Diffusion

Module: Generative AI | Difficulty: Advanced

Medical Diffusion

Modality Conditioning

Condition on imaging modality (CT, MRI, X-ray):

Data Augmentation Value

class MedicalDiffusion(nn.Module):
    def __init__(self, unet, modality_embeddings):
        super().__init__()
        self.unet = unet
        self.modality_emb = modality_embeddings
    def forward(self, x, t, modality):
        emb = self.modality_emb[modality]
        return self.unet(x, t, emb)

Research Insight: Synthetic medical images can improve model performance by 6-12%, but only if the synthesis preserves diagnostic features. Evaluation must include radiologist assessment, not just statistical metrics.