Computer-Aided Speckle Noise Analysis in Ultrasound Images Through Fusion of Convolutional Neural Network and Wavelet Transform with Linear Discriminate Analysis-Reference-Cited by-同舟云学术

Computer-Aided Speckle Noise Analysis in Ultrasound Images Through Fusion of Convolutional Neural Network and Wavelet Transform with Linear Discriminate Analysis

Published:2019-07-04 Issue: Volume: Page:183-195
ISSN:2524-7565
Container-title:Proceedings of International Joint Conference on Computational Intelligence
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Author:

Mostafiz Rafid^ORCID,Islam Md. Mezbahul,Rahman Md. Motiur

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-13-7564-4_16

Reference21 articles.

1. Vishwa A, Sharma S (2012) Speckle noise reduction in ultrasound images by wavelet thresholding. Int J Adv Res Comput Sci Softw Eng 2(2)

2. Sudha S, Suresh GR, Sukanesh R (2009) Speckle noise reduction in ultrasound images by wavelet thresholding based on weighted variance. Int J Comput Theory Eng 1(1):7

3. Cunningham RJ, Harding PJ, Loram ID (2017) The application of deep convolutional neural networks to ultrasound for modelling of dynamic states within human skeletal muscle. arXiv preprint arXiv:1706.09450

4. Wang P, Zhang H, Patel VM (2017) SAR image despeckling using a convolutional neural network. IEEE Signal Process Lett 24(12):1763–1767

5. Chierchia G, Cozzolino D, Poggi G, Verdoliva L (2017, July) SAR image despeckling through convolutional neural networks. In: 2017 IEEE international conference on geoscience and remote sensing symposium (IGARSS). IEEE, pp 5438–5441

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