August 1, 2025Computerized Medical Imaging and GraphicsOpen Access

Diffusion model for medical image denoising, reconstruction and translation

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Diffusion models enhance medical image denoising, reconstruction, and translation, improving diagnostic accuracy.
These models operate through a forward process of noise addition and a reverse process of Gaussian denoising.
Comprehensive analysis includes applications in text-to-image synthesis and object detection in medical contexts.
Public datasets and evaluation metrics are introduced, paving the way for future improvements in image quality.

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Implication

Overview reveals how diffusion models enhance medical image denoising and diagnostic accuracy, highlighting their potential in image processing tasks.

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Wang et al. (2025) studied this question.

synapsesocial.com/papers/689a0c6be6551bb0af8cfe2e https://doi.org/10.1016/j.compmedimag.2025.102593

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Implication

Overview reveals how diffusion models enhance medical image denoising and diagnostic accuracy, highlighting their potential in image processing tasks.

Diffusion model for medical image denoising, reconstruction and translation

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Implication

Cite This Study

Diffusion model for medical image denoising, reconstruction and translation

Key Points

Discussion

Implication

Cite This Study

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