B-mode ultrasound imaging is used extensively in medicine. Hence, there is a need to have
efficient segmentation tools to aid in computer-aided diagnosis, image-guided interventions …

Interactive segmentation is a crucial research area in medical image analysis aiming to
boost the efficiency of costly annotations by incorporating human feedback. This feedback …

Delineation of the cardiac structures from 2D echocardiographic images is a common
clinical task to establish a diagnosis. Over the past decades, the automation of this task has …

Medical image segmentation is crucial in using digital images for disease diagnosis,
particularly in post-processing tasks such as analysis and disease identification …

Background: Echocardiographic determination of ejection fraction (EF) by manual tracing of
endocardial borders is time consuming and operator dependent, whereas visual …

Segmentation is considered as one of the main steps in image processing. It divides a digital
image into multiple regions in order to analyze them. It is also used to distinguish different …

In this paper, a multilevel thresholding image segmentation method base on the
enhancement of the performance of the whale optimization algorithm (WOA). The developed …

Recently, iris recognition techniques have achieved great performance in identification.
Among authentication techniques, iris recognition systems have received attention very …

A novel automatic 3D+ time left ventricle (LV) segmentation framework is proposed for
cardiac magnetic resonance (CMR) datasets. The proposed framework consists of three …

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 …