A review of segmentation methods in short axis cardiac MR images
For the last 15 years, Magnetic Resonance Imaging (MRI) has become a reference
examination for cardiac morphology, function and perfusion in humans. Yet, due to the …
examination for cardiac morphology, function and perfusion in humans. Yet, due to the …
A combined deep-learning and deformable-model approach to fully automatic segmentation of the left ventricle in cardiac MRI
Segmentation of the left ventricle (LV) from cardiac magnetic resonance imaging (MRI)
datasets is an essential step for calculation of clinical indices such as ventricular volume and …
datasets is an essential step for calculation of clinical indices such as ventricular volume and …
State-of-the-art methods for brain tissue segmentation: A review
Brain tissue segmentation is one of the most sought after research areas in medical image
processing. It provides detailed quantitative brain analysis for accurate disease diagnosis …
processing. It provides detailed quantitative brain analysis for accurate disease diagnosis …
Fast automatic myocardial segmentation in 4D cine CMR datasets
A novel automatic 3D+ time left ventricle (LV) segmentation framework is proposed for
cardiac magnetic resonance (CMR) datasets. The proposed framework consists of three …
cardiac magnetic resonance (CMR) datasets. The proposed framework consists of three …
A survey of shaped-based registration and segmentation techniques for cardiac images
V Tavakoli, AA Amini - Computer Vision and Image Understanding, 2013 - Elsevier
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 …
routinely applied for assessment and diagnosis of cardiac diseases. Computerized image …
[PDF][PDF] An overview of intelligent image segmentation using active contour models
The active contour model (ACM) approach in image segmentation is regarded as a research
hotspot in the area of computer vision, which is widely applied in different kinds of …
hotspot in the area of computer vision, which is widely applied in different kinds of …
Segmentation of intra-retinal layers from optical coherence tomography images using an active contour approach
A Yazdanpanah, G Hamarneh… - IEEE transactions on …, 2010 - ieeexplore.ieee.org
Optical coherence tomography (OCT) is a noninvasive, depth-resolved imaging modality
that has become a prominent ophthalmic diagnostic technique. We present a semi …
that has become a prominent ophthalmic diagnostic technique. We present a semi …
Challenges and methodologies of fully automatic whole heart segmentation: a review
X Zhuang - Journal of healthcare engineering, 2013 - Wiley Online Library
Whole heart segmentation from magnetic resonance imaging or computed tomography is a
prerequisite for many clinical applications. Since manual delineation can be tedious and …
prerequisite for many clinical applications. Since manual delineation can be tedious and …
[BOOK][B] Stochastic modeling for medical image analysis
This book provides a brief introduction to medical imaging, stochastic modeling, and model-
guided image analysis. It presents the latest state of the art in stochastic modeling for …
guided image analysis. It presents the latest state of the art in stochastic modeling for …
Incorporating prior knowledge in medical image segmentation: a survey
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 …
important step toward automating medical image analysis and is at the crux of a variety of …