Speckle detection in ultrasonic images using unsupervised clustering techniques

In ultrasonic images, identification of speckled regions helps to estimate probe movement as well as improve performance of algorithms for adaptive speckle suppression and the elevational separation of B-scans by speckle decorrelation. By tracking FDS patch displacements over time we can calculate s...

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Bibliographische Detailangaben
Hauptverfasser:	Azar, A. A., Rivaz, H., Boctor, E.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Acoustics Algorithms Biomedical imaging Cluster Analysis Computer Simulation Feature extraction Humans Image segmentation pattern classification Phantoms, Imaging Radio Waves segmentation Speckle Speckle detection speckle tracking Ultrasonic imaging Ultrasonography - methods Ultrasonography, Prenatal Ultrasound unsupervised clustering
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