A unified level set framework utilizing parameter priors for medical image segmentation
Image segmentation plays an important role in many medical imaging systems, yet in
complex circumstances it remains an open problem. One of the main difficulties is the …
complex circumstances it remains an open problem. One of the main difficulties is the …
Medical image segmentation based on novel local order energy
Image segmentation plays an important role in many medical imaging systems, yet in
complex circumstances it is still a challenging problem. Among many difficulties, problem …
complex circumstances it is still a challenging problem. Among many difficulties, problem …
Weighted level set evolution based on local edge features for medical image segmentation
Level set methods have been widely used to implement active contours for image
segmentation applications due to their good boundary detection accuracy. In the context of …
segmentation applications due to their good boundary detection accuracy. In the context of …
A region-based level set formulation using machine learning approach in medical image segmentation
A new region-based active contour model in level set formulation is proposed to segment
medical images with poorly defined boundaries. From literature, it is observed that the …
medical images with poorly defined boundaries. From literature, it is observed that the …
Adaptive regularization level set evolution for medical image segmentation and bias field correction
X Xin, L Wang, C Pan, S Liu - 2015 IEEE International …, 2015 - ieeexplore.ieee.org
In this paper, we propose a level-set based segmentation method for medical images with
intensity inhomogeneity. Maximum a Posteriori estimation is adopted to combine image …
intensity inhomogeneity. Maximum a Posteriori estimation is adopted to combine image …
AS2LS: Adaptive Anatomical Structure-Based Two-Layer Level Set Framework for Medical Image Segmentation
T Han, H Cao, Y Yang - IEEE Transactions on Image …, 2024 - ieeexplore.ieee.org
Medical images often exhibit intricate structures, inhomogeneous intensity, significant noise
and blurred edges, presenting challenges for medical image segmentation. Several …
and blurred edges, presenting challenges for medical image segmentation. Several …
A level set method with shape priors by using locality preserving projections
A novel level set method (LSM) with the constraint of shape priors is proposed to implement
a selective image segmentation. Firstly, the shape priors are aligned by using image …
a selective image segmentation. Firstly, the shape priors are aligned by using image …
ALVLS: Adaptive local variances-Based levelset framework for medical images segmentation
Medical image segmentation is a very challenging task, not only because the intensity of the
medical image itself is not uniform, but also it may be accompanied by the impact of noise …
medical image itself is not uniform, but also it may be accompanied by the impact of noise …
A new level set method for inhomogeneous image segmentation
F Dong, Z Chen, J Wang - Image and Vision Computing, 2013 - Elsevier
Intensity inhomogeneity often appears in medical images, such as X-ray tomography and
magnetic resonance (MR) images, due to technical limitations or artifacts introduced by the …
magnetic resonance (MR) images, due to technical limitations or artifacts introduced by the …
A robust medical image segmentation method using KL distance and local neighborhood information
In this paper, we propose an improved Chan–Vese (CV) model that uses Kullback–Leibler
(KL) distances and local neighborhood information (LNI). Due to the effects of heterogeneity …
(KL) distances and local neighborhood information (LNI). Due to the effects of heterogeneity …