204 related articles for article (PubMed ID: 24489535)
1. Unsupervised approach data analysis based on fuzzy possibilistic clustering: application to medical image MRI.
El Harchaoui NE; Ait Kerroum M; Hammouch A; Ouadou M; Aboutajdine D
Comput Intell Neurosci; 2013; 2013():435497. PubMed ID: 24489535
[TBL] [Abstract][Full Text] [Related]
2. Rough set based generalized fuzzy c-means algorithm and quantitative indices.
Maji P; Pal SK
IEEE Trans Syst Man Cybern B Cybern; 2007 Dec; 37(6):1529-40. PubMed ID: 18179071
[TBL] [Abstract][Full Text] [Related]
3. An Efficient Segmentation and Classification System in Medical Images Using Intuitionist Possibilistic Fuzzy C-Mean Clustering and Fuzzy SVM Algorithm.
Chowdhary CL; Mittal M; P K; Pattanaik PA; Marszalek Z
Sensors (Basel); 2020 Jul; 20(14):. PubMed ID: 32668793
[TBL] [Abstract][Full Text] [Related]
4. Similarity Measure-Based Possibilistic FCM With Label Information for Brain MRI Segmentation.
Bai X; Zhang Y; Liu H; Chen Z
IEEE Trans Cybern; 2019 Jul; 49(7):2618-2630. PubMed ID: 29994555
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. Automated detection of white matter changes in elderly people using fuzzy, geostatistical, and information combining models.
Pham TD; Berger K
IEEE Trans Inf Technol Biomed; 2011 Mar; 15(2):242-50. PubMed ID: 20889435
[TBL] [Abstract][Full Text] [Related]
8. [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]
9. A Hybrid Method for Image Segmentation Based on Artificial Fish Swarm Algorithm and Fuzzy c-Means Clustering.
Ma L; Li Y; Fan S; Fan R
Comput Math Methods Med; 2015; 2015():120495. PubMed ID: 26649068
[TBL] [Abstract][Full Text] [Related]
10. Suspicious Lesion Segmentation on Brain, Mammograms and Breast MR Images Using New Optimized Spatial Feature Based Super-Pixel Fuzzy C-Means Clustering.
Kumar SN; Fred AL; Varghese PS
J Digit Imaging; 2019 Apr; 32(2):322-335. PubMed ID: 30402671
[TBL] [Abstract][Full Text] [Related]
11. [An algorithm based on deformable contour models for medical image segmentation].
Li H; Wang Z
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2006 Aug; 23(4):717-21. PubMed ID: 17002092
[TBL] [Abstract][Full Text] [Related]
12. A modified fuzzy C-means classification method using a multiscale diffusion filtering scheme.
Wang H; Fei B
Med Image Anal; 2009 Apr; 13(2):193-202. PubMed ID: 18684658
[TBL] [Abstract][Full Text] [Related]
13. Effective fuzzy c-means based kernel function in segmenting medical images.
Kannan SR; Ramathilagam S; Sathya A; Pandiyarajan R
Comput Biol Med; 2010 Jun; 40(6):572-9. PubMed ID: 20444444
[TBL] [Abstract][Full Text] [Related]
14. Magnetic Resonance Features of Acquired Immune Deficiency Syndrome Involving Central Nervous System Diseases by Intelligent Fuzzy C-Means Clustering (FCM) Algorithm.
Huang G; Chen J; Ge Y; Zhu X; Ding M; Chen X; Qu C
Comput Math Methods Med; 2022; 2022():4955555. PubMed ID: 35836918
[TBL] [Abstract][Full Text] [Related]
15. An improved FCM medical image segmentation algorithm based on MMTD.
Zhou N; Yang T; Zhang S
Comput Math Methods Med; 2014; 2014():690349. PubMed ID: 24648852
[TBL] [Abstract][Full Text] [Related]
16. Deep Possibilistic
Gu Y; Ni T; Jiang Y
Comput Math Methods Med; 2022; 2022():3469979. PubMed ID: 35469221
[TBL] [Abstract][Full Text] [Related]
17. Brain tissue segmentation using fuzzy clustering techniques.
Sucharitha M; Geetha KP
Technol Health Care; 2015; 23(5):571-80. PubMed ID: 26410118
[TBL] [Abstract][Full Text] [Related]
18. Improved Fuzzy C-Means based Particle Swarm Optimization (PSO) initialization and outlier rejection with level set methods for MR brain image segmentation.
Mekhmoukh A; Mokrani K
Comput Methods Programs Biomed; 2015 Nov; 122(2):266-81. PubMed ID: 26299609
[TBL] [Abstract][Full Text] [Related]
19. A robust fuzzy local information C-Means clustering algorithm.
Krinidis S; Chatzis V
IEEE Trans Image Process; 2010 May; 19(5):1328-37. PubMed ID: 20089475
[TBL] [Abstract][Full Text] [Related]
20. Local bone enhancement fuzzy clustering for segmentation of MR trabecular bone images.
Folkesson J; Carballido-Gamio J; Eckstein F; Link TM; Majumdar S
Med Phys; 2010 Jan; 37(1):295-302. PubMed ID: 20175492
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
