2001
DOI: 10.1109/58.911740
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Classification of ultrasonic B-mode images of breast masses using Nakagami distribution

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Cited by 203 publications
(110 citation statements)
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“…Many statistical models have been investigated for describing the characteristics of the US speckle under different scattering conditions. These models range from the well-known Rayleigh model (one of the most commonly used model based on the assumption that a resolution cell contains a large number of scatterers) to a class of nonRayleigh models comprising of K-distribution, Weibull distribution, log-normal distribution and Nakagami distribution [18,[20][21][22]. Among these density functions, the Nakagami and K-distribution provides better overall statistical fit to the observed data over a broad range of scattering conditions [22].…”
Section: Speckle Statisticsmentioning
confidence: 98%
“…Many statistical models have been investigated for describing the characteristics of the US speckle under different scattering conditions. These models range from the well-known Rayleigh model (one of the most commonly used model based on the assumption that a resolution cell contains a large number of scatterers) to a class of nonRayleigh models comprising of K-distribution, Weibull distribution, log-normal distribution and Nakagami distribution [18,[20][21][22]. Among these density functions, the Nakagami and K-distribution provides better overall statistical fit to the observed data over a broad range of scattering conditions [22].…”
Section: Speckle Statisticsmentioning
confidence: 98%
“…Alternative distributions to Rayleigh have been proposed for situations not meeting the requirements of fully developed speckle, such as insufficient numbers of scatterers per resolution cell, or non random positioning. These include the Rician, Nakagami and K distributions (Shankar et al, 2001;Shankar, 1995;Smolíovái et al, 2004).…”
Section: Absorptionmentioning
confidence: 99%
“…Statistical parameters for spatial regions can be calculated in various ways [24][25][26]. Maps of the homodyned K distribution parameters were calculated for each RF data image with the sliding-window technique [25].…”
Section: Backscattered Echo Assessmentmentioning
confidence: 99%