158 related articles for article (PubMed ID: 28376124)
1. Active contours driven by local and global fitted image models for image segmentation robust to intensity inhomogeneity.
Akram F; Garcia MA; Puig D
PLoS One; 2017; 12(4):e0174813. PubMed ID: 28376124
[TBL] [Abstract][Full Text] [Related]
2. Segmentation of intensity inhomogeneous brain MR images using active contours.
Akram F; Kim JH; Lim HU; Choi KN
Comput Math Methods Med; 2014; 2014():194614. PubMed ID: 25143780
[TBL] [Abstract][Full Text] [Related]
3. A level set method based on domain transformation and bias correction for MRI brain tumor segmentation.
Khosravanian A; Rahmanimanesh M; Keshavarzi P; Mozaffari S
J Neurosci Methods; 2021 Mar; 352():109091. PubMed ID: 33515604
[TBL] [Abstract][Full Text] [Related]
4. Active Contours Using Additive Local and Global Intensity Fitting Models for Intensity Inhomogeneous Image Segmentation.
Soomro S; Akram F; Kim JH; Soomro TA; Choi KN
Comput Math Methods Med; 2016; 2016():9675249. PubMed ID: 27800011
[TBL] [Abstract][Full Text] [Related]
5. Segmentation of MR image using local and global region based geodesic model.
Li X; Jiang D; Shi Y; Li W
Biomed Eng Online; 2015 Feb; 14():8. PubMed ID: 25971306
[TBL] [Abstract][Full Text] [Related]
6. Automatic segmentation for brain MR images via a convex optimized segmentation and bias field correction coupled model.
Chen Y; Zhao B; Zhang J; Zheng Y
Magn Reson Imaging; 2014 Sep; 32(7):941-55. PubMed ID: 24832358
[TBL] [Abstract][Full Text] [Related]
7. Brain MR image segmentation using local and global intensity fitting active contours/surfaces.
Wang L; Li C; Sun Q; Xia D; Kao CY
Med Image Comput Comput Assist Interv; 2008; 11(Pt 1):384-92. PubMed ID: 18979770
[TBL] [Abstract][Full Text] [Related]
8. A Global Inhomogeneous Intensity Clustering- (GINC-) Based Active Contour Model for Image Segmentation and Bias Correction.
Feng C; Yang J; Lou C; Li W; Yu K; Zhao D
Comput Math Methods Med; 2020; 2020():7595174. PubMed ID: 32565883
[TBL] [Abstract][Full Text] [Related]
9. A fast level set method for inhomogeneous image segmentation with adaptive scale parameter.
Huang G; Ji H; Zhang W
Magn Reson Imaging; 2018 Oct; 52():33-45. PubMed ID: 29807107
[TBL] [Abstract][Full Text] [Related]
10. Robust generative asymmetric GMM for brain MR image segmentation.
Ji Z; Xia Y; Zheng Y
Comput Methods Programs Biomed; 2017 Nov; 151():123-138. PubMed ID: 28946994
[TBL] [Abstract][Full Text] [Related]
11. A fast and reliable noise-resistant medical image segmentation and bias field correction model.
Yang Y; Tian D; Wu B
Magn Reson Imaging; 2018 Dec; 54():15-31. PubMed ID: 30075185
[TBL] [Abstract][Full Text] [Related]
12. A fast two-stage active contour model for intensity inhomogeneous image segmentation.
Song Y; Peng G
PLoS One; 2019; 14(4):e0214851. PubMed ID: 31002667
[TBL] [Abstract][Full Text] [Related]
13. New region-scalable discriminant and fitting energy functional for driving geometric active contours in medical image segmentation.
Wang X; Niu Y; Tan L; Zhang SX
Comput Math Methods Med; 2014; 2014():357684. PubMed ID: 25110513
[TBL] [Abstract][Full Text] [Related]
14. Medical image segmentation based on a hybrid region-based active contour model.
Liu T; Xu H; Jin W; Liu Z; Zhao Y; Tian W
Comput Math Methods Med; 2014; 2014():890725. PubMed ID: 25028593
[TBL] [Abstract][Full Text] [Related]
15. Split Bregman method based level set formulations for segmentation and correction with application to MR images and color images.
Yang Y; Tian D; Jia W; Shu X; Wu B
Magn Reson Imaging; 2019 Apr; 57():50-67. PubMed ID: 30326258
[TBL] [Abstract][Full Text] [Related]
16. An active contour model for the segmentation of images with intensity inhomogeneities and bias field estimation.
Huang C; Zeng L
PLoS One; 2015; 10(3):e0120399. PubMed ID: 25837416
[TBL] [Abstract][Full Text] [Related]
17. Hybrid two-stage active contour method with region and edge information for intensity inhomogeneous image segmentation.
Soomro S; Munir A; Choi KN
PLoS One; 2018; 13(1):e0191827. PubMed ID: 29377911
[TBL] [Abstract][Full Text] [Related]
18. Active contours driven by local and global intensity fitting energy with application to brain MR image segmentation.
Wang L; Li C; Sun Q; Xia D; Kao CY
Comput Med Imaging Graph; 2009 Oct; 33(7):520-31. PubMed ID: 19482457
[TBL] [Abstract][Full Text] [Related]
19. Brain Tissue Segmentation and Bias Field Correction of MR Image Based on Spatially Coherent FCM with Nonlocal Constraints.
Song J; Zhang Z
Comput Math Methods Med; 2019; 2019():4762490. PubMed ID: 30944578
[TBL] [Abstract][Full Text] [Related]
20. Adaptive segmentation of magnetic resonance images with intensity inhomogeneity using level set method.
Liu L; Zhang Q; Wu M; Li W; Shang F
Magn Reson Imaging; 2013 May; 31(4):567-74. PubMed ID: 23290480
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]