153 related articles for article (PubMed ID: 19164079)
1. Prostate cancer segmentation with simultaneous estimation of Markov random field parameters and class.
Liu X; Langer DL; Haider MA; Yang Y; Wernick MN; Yetik IS
IEEE Trans Med Imaging; 2009 Jun; 28(6):906-15. PubMed ID: 19164079
[TBL] [Abstract][Full Text] [Related]
2. Prostate cancer localization with multispectral MRI using cost-sensitive support vector machines and conditional random fields.
Artan Y; Haider MA; Langer DL; van der Kwast TH; Evans AJ; Yang Y; Wernick MN; Trachtenberg J; Yetik IS
IEEE Trans Image Process; 2010 Sep; 19(9):2444-55. PubMed ID: 20716496
[TBL] [Abstract][Full Text] [Related]
3. Automated detection of prostatic adenocarcinoma from high-resolution ex vivo MRI.
Madabhushi A; Feldman MD; Metaxas DN; Tomaszeweski J; Chute D
IEEE Trans Med Imaging; 2005 Dec; 24(12):1611-25. PubMed ID: 16350920
[TBL] [Abstract][Full Text] [Related]
4. Supervised and unsupervised methods for prostate cancer segmentation with multispectral MRI.
Ozer S; Langer DL; Liu X; Haider MA; van der Kwast TH; Evans AJ; Yang Y; Wernick MN; Yetik IS
Med Phys; 2010 Apr; 37(4):1873-83. PubMed ID: 20443509
[TBL] [Abstract][Full Text] [Related]
5. Fuzzy Markov random fields versus chains for multispectral image segmentation.
Salzenstein F; Collet C
IEEE Trans Pattern Anal Mach Intell; 2006 Nov; 28(11):1753-67. PubMed ID: 17063681
[TBL] [Abstract][Full Text] [Related]
6. [A new unsupervised algorithm for image segmentation based on an inhomogeneous Markov random field model].
Li B; Chen WF
Nan Fang Yi Ke Da Xue Xue Bao; 2007 Nov; 27(11):1646-8. PubMed ID: 18024280
[TBL] [Abstract][Full Text] [Related]
7. Unifying framework for multimodal brain MRI segmentation based on Hidden Markov Chains.
Bricq S; Collet Ch; Armspach JP
Med Image Anal; 2008 Dec; 12(6):639-52. PubMed ID: 18440268
[TBL] [Abstract][Full Text] [Related]
8. A segmentation of brain MRI images utilizing intensity and contextual information by Markov random field.
Chen M; Yan Q; Qin M
Comput Assist Surg (Abingdon); 2017 Dec; 22(sup1):200-211. PubMed ID: 29072503
[TBL] [Abstract][Full Text] [Related]
9. [MR brain image segmentation based on modified fuzzy C-means clustering using fuzzy GIbbs random field].
Liao L; Lin T; Li B; Zhang W
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2008 Dec; 25(6):1264-70. PubMed ID: 19166189
[TBL] [Abstract][Full Text] [Related]
10. Agentification of Markov model-based segmentation: application to magnetic resonance brain scans.
Scherrer B; Dojat M; Forbes F; Garbay C
Artif Intell Med; 2009 May; 46(1):81-95. PubMed ID: 18929472
[TBL] [Abstract][Full Text] [Related]
11. Classification of anatomical structures in MR brain images using fuzzy parameters.
Algorri ME; Flores-Mangas F
IEEE Trans Biomed Eng; 2004 Sep; 51(9):1599-608. PubMed ID: 15376508
[TBL] [Abstract][Full Text] [Related]
12. [Segmentation of multiple sclerosis lesions based on Markov random fields model for MR images].
Li B; Chen W
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2009 Aug; 26(4):861-5. PubMed ID: 19813627
[TBL] [Abstract][Full Text] [Related]
13. A modified possibilistic fuzzy c-means clustering algorithm for bias field estimation and segmentation of brain MR image.
Ji ZX; Sun QS; Xia DS
Comput Med Imaging Graph; 2011 Jul; 35(5):383-97. PubMed ID: 21256710
[TBL] [Abstract][Full Text] [Related]
14. Adaptive fuzzy segmentation of magnetic resonance images.
Pham DL; Prince JL
IEEE Trans Med Imaging; 1999 Sep; 18(9):737-52. PubMed ID: 10571379
[TBL] [Abstract][Full Text] [Related]
15. [Fuzzy Markov random filed model and a new algorithm for image segmentation].
Feng QJ; Chen WF
Nan Fang Yi Ke Da Xue Xue Bao; 2006 May; 26(5):579-83. PubMed ID: 16762854
[TBL] [Abstract][Full Text] [Related]
16. A fuzzy, nonparametric segmentation framework for DTI and MRI analysis: with applications to DTI-tract extraction.
Awate SP; Zhang H; Gee JC
IEEE Trans Med Imaging; 2007 Nov; 26(11):1525-36. PubMed ID: 18041267
[TBL] [Abstract][Full Text] [Related]
17. An adaptive spatial fuzzy clustering algorithm for 3-D MR image segmentation.
Liew AW; Yan H
IEEE Trans Med Imaging; 2003 Sep; 22(9):1063-75. PubMed ID: 12956262
[TBL] [Abstract][Full Text] [Related]
18. A fuzzy c-means (FCM)-based approach for computerized segmentation of breast lesions in dynamic contrast-enhanced MR images.
Chen W; Giger ML; Bick U
Acad Radiol; 2006 Jan; 13(1):63-72. PubMed ID: 16399033
[TBL] [Abstract][Full Text] [Related]
19. [An adaptive criterion for cluster number estimation and the optimal algorithm for image segmentation].
Yan G; Chen WF
Nan Fang Yi Ke Da Xue Xue Bao; 2006 Jul; 26(7):959-62. PubMed ID: 16864086
[TBL] [Abstract][Full Text] [Related]
20. Distributed local MRF models for tissue and structure brain segmentation.
Scherrer B; Forbes F; Garbay C; Dojat M
IEEE Trans Med Imaging; 2009 Aug; 28(8):1278-95. PubMed ID: 19228553
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]