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Ultrasound image denoising using generative adversarial networks with residual dense connectivity and weighted joint loss
BACKGROUND: Ultrasound imaging has been recognized as a powerful tool in clinical diagnosis. Nonetheless, the presence of speckle noise degrades the signal-to-noise of ultrasound images. Various denoising algorithms cannot fully reduce speckle noise and retain image features well for ultrasound imag...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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PeerJ Inc.
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9044345/ https://www.ncbi.nlm.nih.gov/pubmed/35494868 http://dx.doi.org/10.7717/peerj-cs.873 |