AbstractWe propose a multi-purpose level-set segmentation algorithm to detect the boundary of tumors and tissues in high-frequency 3D ultrasound images of the skin. Whereas most proposed algorithms assume a specific (e.g. Rayleigh) distribution of the speckle noise, we do not make such assumption and use non-parametric Parzen estimates of the distribution. We discuss the advantage of the method on synthetic and clinical images of the skin and tumors
2 Automatically extracting lesion boundaries in ultrasound images is difficult due to the variance i...
Texture analysis is an important topic in Ultrasound (US) image analysis for structure segmentation ...
One of the promising clinical needs of acquiring ultrasonic images is in the detection of the possib...
International audienceHigh-frequency 3-D ultrasound imaging is an informative tool for diagnosis, su...
AbstractWe propose a multi-purpose level-set segmentation algorithm to detect the boundary of tumors...
International audienceIn this article, we propose a segmentation algorithm for skin lesions in 3D hi...
International audienceThis paper addresses the problem of jointly estimating the statistical distrib...
This thesis studies statistical image processing of high frequency ultrasound imaging, with applicat...
This work presents an algorithm for segmentation of ultrasound images based on the statistics of the...
This thesis studies statistical image processing of high frequency ultrasound imaging, with applicat...
Automatically extracting breast tumor boundaries in ultrasound images is a difficult task due to the...
In this paper, a novel geometric active contour model for segmenting ultrasound image is presented. ...
This dissertation considers the problem of detecting boundaries in ultrasound speckle imagery. For p...
Abstract—This paper presents an analysis method for ul-trasound images based on modeling the speckle...
In this paper, we propose a robust adaptive region segmentation algorithm for noisy images, within a...
2 Automatically extracting lesion boundaries in ultrasound images is difficult due to the variance i...
Texture analysis is an important topic in Ultrasound (US) image analysis for structure segmentation ...
One of the promising clinical needs of acquiring ultrasonic images is in the detection of the possib...
International audienceHigh-frequency 3-D ultrasound imaging is an informative tool for diagnosis, su...
AbstractWe propose a multi-purpose level-set segmentation algorithm to detect the boundary of tumors...
International audienceIn this article, we propose a segmentation algorithm for skin lesions in 3D hi...
International audienceThis paper addresses the problem of jointly estimating the statistical distrib...
This thesis studies statistical image processing of high frequency ultrasound imaging, with applicat...
This work presents an algorithm for segmentation of ultrasound images based on the statistics of the...
This thesis studies statistical image processing of high frequency ultrasound imaging, with applicat...
Automatically extracting breast tumor boundaries in ultrasound images is a difficult task due to the...
In this paper, a novel geometric active contour model for segmenting ultrasound image is presented. ...
This dissertation considers the problem of detecting boundaries in ultrasound speckle imagery. For p...
Abstract—This paper presents an analysis method for ul-trasound images based on modeling the speckle...
In this paper, we propose a robust adaptive region segmentation algorithm for noisy images, within a...
2 Automatically extracting lesion boundaries in ultrasound images is difficult due to the variance i...
Texture analysis is an important topic in Ultrasound (US) image analysis for structure segmentation ...
One of the promising clinical needs of acquiring ultrasonic images is in the detection of the possib...