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- W2046344557 endingPage "213" @default.
- W2046344557 startingPage "202" @default.
- W2046344557 abstract "Speckle has been widely considered a noisy feature in ultrasound images, thus it is intended to be suppressed and eliminated. On the other hand, speckle can be studied as a signal modeled by various statistical distributions or by analyzing its intensity with spatial relations in image space that characterize its nature, and hence, the nature of the underlying tissue. This knowledge can then be used in order to classify the different speckle regions into anatomical structures. In fact, speckle characterization in echocardiography and other ultrasonic images is important for motion tracking, tissue characterization, image segmentation, registration, and other medical applications for diagnosis, therapy planning and decision making. In this paper, we review and discuss various speckle characterization methods, which are often applied to confirm the speckle nature of the elements." @default.
- W2046344557 created "2016-06-24" @default.
- W2046344557 creator A5000806340 @default.
- W2046344557 creator A5027015251 @default.
- W2046344557 creator A5044017382 @default.
- W2046344557 creator A5053463197 @default.
- W2046344557 date "2014-09-01" @default.
- W2046344557 modified "2023-10-01" @default.
- W2046344557 title "Speckle characterization methods in ultrasound images – A review" @default.
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