A novel segmentation model for medical images with intensity inhomogeneity based on adaptive perturbation
In medical field, it remains challenging to accurately segment medical images due to low
contrast, complex noises and intensity inhomogeneity. To overcome these obstacles, this …
contrast, complex noises and intensity inhomogeneity. To overcome these obstacles, this …
Adaptive local-fitting-based active contour model for medical image segmentation
D Ma, Q Liao, Z Chen, R Liao, H Ma - Signal Processing: Image …, 2019 - Elsevier
Due to the complex environments, characteristics of samples and limits of acquisition
instruments, medical images are often acquired with intensity inhomogeneity and noise …
instruments, medical images are often acquired with intensity inhomogeneity and noise …
A hybrid active contour model based on global and local information for medical image segmentation
L Fang, T Qiu, H Zhao, F Lv - Multidimensional Systems and Signal …, 2019 - Springer
For segmenting medical images with abundant noise, blurry boundaries, and intensity
heterogeneities effectively, a hybrid active contour model that synthesizes the global …
heterogeneities effectively, a hybrid active contour model that synthesizes the global …
Active contour model based on local and global intensity information for medical image segmentation
This paper proposes a novel region-based active contour model in the level set formulation
for medical image segmentation. We define a unified fitting energy framework based on …
for medical image segmentation. We define a unified fitting energy framework based on …
Efficient active contour model for medical image segmentation and correction based on edge and region information
Y Yang, X Hou, H Ren - Expert Systems with Applications, 2022 - Elsevier
The inhomogeneity of images is always a challenge in the field of image segmentation.
Aiming at the problem of segmentation and correction of inhomogeneous images, this paper …
Aiming at the problem of segmentation and correction of inhomogeneous images, this paper …
Medical image segmentation based on a hybrid region‐based active contour model
T Liu, H Xu, W Jin, Z Liu, Y Zhao… - … mathematical methods in …, 2014 - Wiley Online Library
A novel hybrid region‐based active contour model is presented to segment medical images
with intensity inhomogeneity. The energy functional for the proposed model consists of three …
with intensity inhomogeneity. The energy functional for the proposed model consists of three …
Robust edge-stop functions for edge-based active contour models in medical image segmentation
Edge-based active contour models are effective in segmenting images with intensity
inhomogeneity but often fail when applied to images containing poorly defined boundaries …
inhomogeneity but often fail when applied to images containing poorly defined boundaries …
[HTML][HTML] Integrating machine learning with region-based active contour models in medical image segmentation
Region-based active contour models are effective in segmenting images with poorly defined
boundaries but often fail when applied to images containing intensity inhomogeneity. The …
boundaries but often fail when applied to images containing intensity inhomogeneity. The …
Active contours driven by local likelihood image fitting energy for image segmentation
Accurate image segmentation is an essential step in image analysis and understanding,
where active contour models play an important part. Due to the noise, low contrast and …
where active contour models play an important part. Due to the noise, low contrast and …
Active contour model based on local and global Gaussian fitting energy for medical image segmentation
W Zhao, X Xu, Y Zhu, F Xu - Optik, 2018 - Elsevier
An improved active contour model is proposed for medical image segmentation in this
paper, which integrates the local and global intensity information of the image effectively …
paper, which integrates the local and global intensity information of the image effectively …