These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

339 related articles for article (PubMed ID: 16167700)

  • 1. MRI fuzzy segmentation of brain tissue using neighborhood attraction with neural-network optimization.
    Shen S; Sandham W; Granat M; Sterr A
    IEEE Trans Inf Technol Biomed; 2005 Sep; 9(3):459-67. PubMed ID: 16167700
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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]  

  • 4. 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]  

  • 5. A fast and automatic segmentation method of MR brain images based on genetic fuzzy clustering algorithm.
    Nie S; Zhang Y; Li W; Chen Z
    Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():5628-33. PubMed ID: 18003289
    [TBL] [Abstract][Full Text] [Related]  

  • 6. [A new algorithm for magnetic resonance image segmentation based on fuzzy kerne1 clustering].
    Yu XF; Li B; Chen WF
    Nan Fang Yi Ke Da Xue Xue Bao; 2008 Apr; 28(4):555-7. PubMed ID: 18495589
    [TBL] [Abstract][Full Text] [Related]  

  • 7. [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]  

  • 8. A modified FCM algorithm for MRI brain image segmentation using both local and non-local spatial constraints.
    Wang J; Kong J; Lu Y; Qi M; Zhang B
    Comput Med Imaging Graph; 2008 Dec; 32(8):685-98. PubMed ID: 18818051
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Multispectral MR images segmentation based on fuzzy knowledge and modified seeded region growing.
    Lin GC; Wang WJ; Kang CC; Wang CM
    Magn Reson Imaging; 2012 Feb; 30(2):230-46. PubMed ID: 22133286
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. 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]  

  • 12. 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]  

  • 13. 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]  

  • 14. 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]  

  • 15. A novel fuzzy C-means algorithm for unsupervised heterogeneous tumor quantification in PET.
    Belhassen S; Zaidi H
    Med Phys; 2010 Mar; 37(3):1309-24. PubMed ID: 20384268
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A fuzzy, nonparametric segmentation framework for DTI and MRI analysis.
    Awate SP; Gee JC
    Inf Process Med Imaging; 2007; 20():296-307. PubMed ID: 17633708
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 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. 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]  

  • 20. Generalized fuzzy clustering for segmentation of multi-spectral magnetic resonance images.
    He R; Datta S; Sajja BR; Narayana PA
    Comput Med Imaging Graph; 2008 Jul; 32(5):353-66. PubMed ID: 18387784
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 17.