A Neural Network-Based Wavelet Thresholding Technique for De-Speckling of Ultrasound Images
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-7077-3_34
Reference15 articles.
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2. Bedi AK, Sunkaria RK (2022) Ultrasound speckle reduction using adaptive wavelet thresholding. Multidimens Syst Signal Process 33(2):275–300. https://doi.org/10.1007/s11045-021-00799-4
3. Chang SG, Yu B, Vetterli M (2000) Adaptive wavelet thresholding for image denoising and compression. IEEE Trans Image Process 9(9):1532–1546. https://doi.org/10.1109/83.862633
4. Chen J, Benesty J, Huang Y, Doclo S (2006) New insights into the noise reduction Wiener filter. IEEE Trans Audio Speech Lang Process 14(4):1218–1234. https://doi.org/10.1109/TSA.2005.860851
5. Chen H et al (2021) Segmentation of lymph nodes in ultrasound images using U-net convolutional neural networks and gabor-based anisotropic diffusion. J Med Biol Eng 41(6):942–952. https://doi.org/10.1007/s40846-021-00670-8
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