Level set formulation based on edge and region information with application to accurate lesion segmentation of brain magnetic resonance images
Magnetic resonance images have great significance for doctors' analysis and diagnosis of
diseases. One difficulty in segmenting magnetic resonance images is associated with the …
diseases. One difficulty in segmenting magnetic resonance images is associated with the …
Multi-phase level set method for precise segmentation and correction of brain MRI
Medical image segmentation as an earlier application field in image segmentation is the key
technology of medical image analysis and is also a key point and difficulty in clinical …
technology of medical image analysis and is also a key point and difficulty in clinical …
Adaptive segmentation of magnetic resonance images with intensity inhomogeneity using level set method
L Liu, Q Zhang, M Wu, W Li, F Shang - Magnetic resonance imaging, 2013 - Elsevier
It is a big challenge to segment magnetic resonance (MR) images with intensity
inhomogeneity. The widely used segmentation algorithms are region based, which mostly …
inhomogeneity. The widely used segmentation algorithms are region based, which mostly …
A novel brain tumor segmentation from multi-modality MRI via a level-set-based model
Y Song, Z Ji, Q Sun, Y Zheng - Journal of Signal Processing Systems, 2017 - Springer
Segmentation of brain tumor from magnetic resonance imaging is a challenging and time-
consuming task due to the unpredictable appearance of tumor tissue in practical …
consuming task due to the unpredictable appearance of tumor tissue in practical …
A variational level set method image segmentation model with application to intensity inhomogene magnetic resonance imaging
Materials and Methods: We quantitatively compare our method with other two state-of-the-art
algorithms, namely, CV model and local binary fitting (LBF) model in segmenting synthetic …
algorithms, namely, CV model and local binary fitting (LBF) model in segmenting synthetic …
Brain MR image segmentation based on an improved active contour model
X Meng, W Gu, Y Chen, J Zhang - PloS one, 2017 - journals.plos.org
It is often a difficult task to accurately segment brain magnetic resonance (MR) images with
intensity in-homogeneity and noise. This paper introduces a novel level set method for …
intensity in-homogeneity and noise. This paper introduces a novel level set method for …
Segmentation of MR image using local and global region based geodesic model
X Li, D Jiang, Y Shi, W Li - Biomedical engineering online, 2015 - Springer
Background Segmentation of the magnetic resonance (MR) images is fundamentally
important in medical image analysis. Intensity inhomogeneity due to the unknown noise and …
important in medical image analysis. Intensity inhomogeneity due to the unknown noise and …
Active contours driven by local and global intensity fitting energy with application to brain MR image segmentation
In this paper, we propose an improved region-based active contour model in a variational
level set formulation. We define an energy functional with a local intensity fitting term, which …
level set formulation. We define an energy functional with a local intensity fitting term, which …
Efficient active contour model for multiphase segmentation with application to brain MR images
In this paper, we propose an efficient active contour model for multiphase image
segmentation in a variational level set formulation. By incorporating the globally convex …
segmentation in a variational level set formulation. By incorporating the globally convex …
Automatic segmentation for brain MR images via a convex optimized segmentation and bias field correction coupled model
Accurate segmentation of magnetic resonance (MR) images remains challenging mainly
due to the intensity inhomogeneity, which is also commonly known as bias field. Recently …
due to the intensity inhomogeneity, which is also commonly known as bias field. Recently …