Ultrasound image segmentation deals with delineating the boundaries of structures, as a
step towards semi-automated or fully automated measurement of dimensions or for …

Medical image segmentation, the task of partitioning an image into meaningful parts, is an
important step toward automating medical image analysis and is at the crux of a variety of …

Heart disease is the leading cause of death in the modern world. Cardiac imaging is
routinely applied for assessment and diagnosis of cardiac diseases. Computerized image …

Quantitative assessment of metastatic disease in bone is often considered immeasurable
and, as such, patients with skeletal metastases are often excluded from clinical trials. In …

A hybrid model for thyroid nodule boundary detection on ultrasound images is introduced.
The segmentation model combines the advantages of the “á trous” wavelet transform to …

RATIONALE AND OBJECTIVES: Quantitative measurement provides essential information
about disease progression and treatment response in patients with glioblastoma multiforme …

We propose a joint information approach for automatic analysis of 2D echocardiography
(echo) data. The approach combines a priori images, their segmentations and patient …

We present a user-initialized, automated left ventricle (LV) segmentation method for use with
echocardiograms (echo). The method uses an iterative Dijkstra's algorithm, strategic node …

Left ventricle (LV) endocardium segmentation in echocardiography video has received
much attention as an important step in quantifying LV ejection fraction. Most existing …

Because of similar intensity in adjacent regions, intensity inhomogeneity and fuzzy
boundary, vessel attachment nodule segmentation is a difficult task. In this paper, a novel …