Deep Ultrasound Denoising Using Diffusion Probabilistic Models

Noisy ultrasound images were represented as one of the major challenges in medical diagnosis. Regarding that, stemming from denoising diffusion probabilistic models, a denoising method is proposed that retrieves the denoised image by passing the noisy image through an iterative inverse process.

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Hojat Asgariandehkordi, Sobhan Goudarzi, Adrian Basarab, Hassan Rivaz (2024). Dataset: Deep Ultrasound Denoising Using Diffusion Probabilistic Models. https://doi.org/10.57702/7sggila3

DOI retrieved: December 3, 2024

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Created December 3, 2024
Last update December 3, 2024
Defined In https://doi.org/10.48550/arXiv.2306.07440
Author Hojat Asgariandehkordi
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Sobhan Goudarzi
Adrian Basarab
Hassan Rivaz