AbstractIn the paper novel application of active contour without edges method to left ventricle segmentation in ultrasound echocardiographic images is presented. In the proposed approach detection of informative image part and limitation of segmentation area is done by means of Hough transform what guarantees stability and correctness of the segmentation algorithm working on border between object and background with small absolute value of image gradient. Additionally, in order to increase image quality, speckle noise anisotropic diffusion filtering was applied to input noisy data. Preliminary quantitative results for artificial USG-like images and visual ones for real echocardiographic data are presented in the paper
We have developed several methods for automated analysis of echocardiographic images. This thesis de...
In this paper we present the coupled active contours (CAC) model, which is applied to segmentation o...
Nowadays, many practical applications in the field of medical image processing require valid and rel...
AbstractIn the paper novel application of active contour without edges method to left ventricle segm...
The correct left ventricle identi cation in echocardiography images constitutes an im- portant tool...
Segmentation of the left ventricle in echocardiographic images is a task with important diagnostic p...
Segmentation of left ventricle (LV) from cardiac ultrasound images provides a quantitative functiona...
In this paper a DSP-based active contour model for tracking of the endocardium in a sequence of echo...
We develop a semiautomated segmentation method to assist in the analysis of functional pathologies o...
Cardiovascular system diseases are the major causes of mortality in the world. The most important an...
Colloque avec actes et comité de lecture.In this paper we present an algorithm for 3D reconstruction...
In this work we present a technique to extract the heart contours from noisy echocardiograph images....
International audienceIn this paper we present a novel method for the segmentation of scintigraphic ...
The ejection fraction rate is a frequently used parameter when treating patients who suffered from h...
Abstract. We propose a learning based approach to perform automatic segmentation of the left ventric...
We have developed several methods for automated analysis of echocardiographic images. This thesis de...
In this paper we present the coupled active contours (CAC) model, which is applied to segmentation o...
Nowadays, many practical applications in the field of medical image processing require valid and rel...
AbstractIn the paper novel application of active contour without edges method to left ventricle segm...
The correct left ventricle identi cation in echocardiography images constitutes an im- portant tool...
Segmentation of the left ventricle in echocardiographic images is a task with important diagnostic p...
Segmentation of left ventricle (LV) from cardiac ultrasound images provides a quantitative functiona...
In this paper a DSP-based active contour model for tracking of the endocardium in a sequence of echo...
We develop a semiautomated segmentation method to assist in the analysis of functional pathologies o...
Cardiovascular system diseases are the major causes of mortality in the world. The most important an...
Colloque avec actes et comité de lecture.In this paper we present an algorithm for 3D reconstruction...
In this work we present a technique to extract the heart contours from noisy echocardiograph images....
International audienceIn this paper we present a novel method for the segmentation of scintigraphic ...
The ejection fraction rate is a frequently used parameter when treating patients who suffered from h...
Abstract. We propose a learning based approach to perform automatic segmentation of the left ventric...
We have developed several methods for automated analysis of echocardiographic images. This thesis de...
In this paper we present the coupled active contours (CAC) model, which is applied to segmentation o...
Nowadays, many practical applications in the field of medical image processing require valid and rel...