Add to ORKGEdge detecting techniques relative to application in a portion of Eastern Washington University\u27s Heart Modeling System (HMS) are discussed. Filters, sharpeners, and transforms are discussed in more depth. Twelve operators, several with more than one mask, are tested to arrive at the optimal edge detecting scheme for this domain. Images are shown for each of the operators tested. A glossary and extensive bibliography are included
Contours extraction from two dimensional echocardiographic images has been a challenge in digital im...
[[abstract]]A new method for detecting myocardial boundaries of the left ventricle from a short-axis...
The widespread utilisation of digital two-dimensional echocardiography has led to an increasing inte...
Pixel classification algorithms [l] based on temporal infor-mation [3] when used in combination are...
INTRODUCTION: Cardiology has been one of the most important areas of medicine. For several applicati...
An algorithm for endocardial and epicardial border iden-ti cation of the left ventricle in 2-D short...
Quantitative analysis of the left ventricle wall motion is important for the diagnosis of coronary h...
This paper describes a new Fuzzy, Weighted-Offset, Multiscale Edge Detection algorithm for cardiac l...
We present a myocardial edge detection technique that was devel oped for fast, reproduciblemeasureme...
Extraction of the left ventricular silhouette from angiographic images of the left ventricle of the ...
Two semi-automatic methods for the detection of the left ventricular border in two-dimensional short...
Assessment of cardiac function using imaging techniques requires accurate identification of borders....
An algorithm for endocardial and epicardial border identification of the left ventricle in 2-D short...
Efficient and robust identification of the left ventricular borders remains a challenging problem in...
Active contours are a popular method for extraction of object boundaries in medical images. However,...
Contours extraction from two dimensional echocardiographic images has been a challenge in digital im...
[[abstract]]A new method for detecting myocardial boundaries of the left ventricle from a short-axis...
The widespread utilisation of digital two-dimensional echocardiography has led to an increasing inte...
Pixel classification algorithms [l] based on temporal infor-mation [3] when used in combination are...
INTRODUCTION: Cardiology has been one of the most important areas of medicine. For several applicati...
An algorithm for endocardial and epicardial border iden-ti cation of the left ventricle in 2-D short...
Quantitative analysis of the left ventricle wall motion is important for the diagnosis of coronary h...
This paper describes a new Fuzzy, Weighted-Offset, Multiscale Edge Detection algorithm for cardiac l...
We present a myocardial edge detection technique that was devel oped for fast, reproduciblemeasureme...
Extraction of the left ventricular silhouette from angiographic images of the left ventricle of the ...
Two semi-automatic methods for the detection of the left ventricular border in two-dimensional short...
Assessment of cardiac function using imaging techniques requires accurate identification of borders....
An algorithm for endocardial and epicardial border identification of the left ventricle in 2-D short...
Efficient and robust identification of the left ventricular borders remains a challenging problem in...
Active contours are a popular method for extraction of object boundaries in medical images. However,...
Contours extraction from two dimensional echocardiographic images has been a challenge in digital im...
[[abstract]]A new method for detecting myocardial boundaries of the left ventricle from a short-axis...
The widespread utilisation of digital two-dimensional echocardiography has led to an increasing inte...