Real-time speckle reduction and coherence enhancement in ultrasound imaging via nonlinear anisotropic diffusion
By Khaled Z. Abd-Elmoniem, A. Youssef, Y. Kadah. IEEE Transactions on Biomedical Engineering, 2002
454 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/d8af177873589cd36e938729ff10671b0f880314
How researchers see this paper
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In Computer Vision and Pattern Recognition
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- Kirby G. Vosburgh
- Ling Zhang
Citations in the corpus
- Ultrasound image segmentation: a survey (2006, methodology): “There is also an extensive literature on speckle reduction which has been proposed as a pre-segmentation step; recent works include wavelets based methods [199]–[202], anisotropic diffusion methods [60], [113], [203]–[205] and others [86], [180], [206]–[210].”
- Comparative evaluation of despeckle filtering in ultrasound imaging of the carotid artery (2005, methodology): “It has been shown that the logarithmic compression affects the speckle noise statistics in such a way that the local mean becomes proportional to the local variance rather than the standard deviation [24], [26], [28], [31] [see also (8)].”
- Non-commercial Research and Educational Use including without Limitation Use in Instruction at Your Institution, Sending It to Specific Colleagues That You Know, and Providing a Copy to Your Institution's Administrator. All Other Uses, Reproduction and Distribution, including without Limitation Comm (2005, unknown): “All these methods require considerable A u t h o r ' s p e r s o n a l”
- Oriented Speckle Reducing Anisotropic Diffusion (2007, methodology): “More recent work proposes the use of wavelets [24] and of anisotropic diffusion [15], [17], [18], [25].”
- Automated breast cancer detection and classification using ultrasound images: A survey (2015, background): “[45] proposed a directional adaptive mean filter based on 2D texture homogeneity histogram to suppress speckles in ultrasound images.”