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IEEE/ICACT20260052 Slide.07        [Big Slide]	Oral Presentation
	Here, we present the architecture of the latent diffusion model. A convolutional autoencoder compresses images into a low-dimensional latent space. A UNet-based denoising network operates in this latent space, progressively removing noise. Severity stage embeddings are injected into the network, enabling controlled synthesis of mild, moderate, and severe fibrosis patterns.

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