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 *

83 related articles for article (PubMed ID: 15588332)

  • 1. Modification of the mean-square error principle to double the convergence speed of a special case of Hopfield neural network used to segment pathological liver color images.
    Sammouda R; Sammouda M
    BMC Med Inform Decis Mak; 2004 Dec; 4():22. PubMed ID: 15588332
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Computerized tumor boundary detection using a Hopfield neural network.
    Zhu Y; Yan H
    IEEE Trans Med Imaging; 1997 Feb; 16(1):55-67. PubMed ID: 9050408
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Brain MR images segmentation using statistical ratio: mapping between watershed and competitive Hopfield clustering network algorithms.
    Kuo WF; Lin CY; Sun YN
    Comput Methods Programs Biomed; 2008 Sep; 91(3):191-8. PubMed ID: 18555554
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Multispectral magnetic resonance images segmentation using fuzzy Hopfield neural network.
    Lin JS; Cheng KS; Mao CW
    Int J Biomed Comput; 1996 Aug; 42(3):205-14. PubMed ID: 8894776
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Liver: segment-specific analysis of B1 field homogeneity at 3.0-T MR imaging with single-source versus dual-source parallel radiofrequency excitation.
    Pazahr S; Fischer MA; Chuck N; Luechinger R; Schick F; Nanz D; Boss A
    Radiology; 2012 Nov; 265(2):591-9. PubMed ID: 22929333
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A computer-aided diagnostic system to discriminate SPIO-enhanced magnetic resonance hepatocellular carcinoma by a neural network classifier.
    Guo D; Qiu T; Bian J; Kang W; Zhang L
    Comput Med Imaging Graph; 2009 Dec; 33(8):588-92. PubMed ID: 19656655
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Noise and signal estimation in magnitude MRI and Rician distributed images: a LMMSE approach.
    Aja-Fernandez S; Alberola-Lopez C; Westin CF
    IEEE Trans Image Process; 2008 Aug; 17(8):1383-98. PubMed ID: 18632347
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Computer-aided diagnosis of early knee osteoarthritis based on MRI T2 mapping.
    Wu Y; Yang R; Jia S; Li Z; Zhou Z; Lou T
    Biomed Mater Eng; 2014; 24(6):3379-88. PubMed ID: 25227048
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Wavelet-domain medical image denoising using bivariate laplacian mixture model.
    Rabbani H; Nezafat R; Gazor S
    IEEE Trans Biomed Eng; 2009 Dec; 56(12):2826-37. PubMed ID: 19695984
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Integration of Gibbs Markov random field and Hopfield-type neural networks for unsupervised change detection in remotely sensed multitemporal images.
    Ghosh A; Subudhi BN; Bruzzone L
    IEEE Trans Image Process; 2013 Aug; 22(8):3087-96. PubMed ID: 23715521
    [TBL] [Abstract][Full Text] [Related]  

  • 11. An adaptive level set segmentation on a triangulated mesh.
    Xu M; Thompson PM; Toga AW
    IEEE Trans Med Imaging; 2004 Feb; 23(2):191-201. PubMed ID: 14964564
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Regression error estimation significantly improves the region-of-interest statistics of noisy MR images.
    Juras V; Zbýn S; Szomolanyi P; Trattnig S
    Med Phys; 2010 Jun; 37(6):2813-21. PubMed ID: 20632592
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Lung Cancer Classification Employing Proposed Real Coded Genetic Algorithm Based Radial Basis Function Neural Network Classifier.
    Selvakumari Jeya IJ; Deepa SN
    Comput Math Methods Med; 2016; 2016():7493535. PubMed ID: 28050198
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Optimization of wavelet decomposition for image compression and feature preservation.
    Lo SC; Li H; Freedman MT
    IEEE Trans Med Imaging; 2003 Sep; 22(9):1141-51. PubMed ID: 12956269
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Normalized cuts in 3-D for spinal MRI segmentation.
    Carballido-Gamio J; Belongie SJ; Majumdar S
    IEEE Trans Med Imaging; 2004 Jan; 23(1):36-44. PubMed ID: 14719685
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A Hopfield neural network for image change detection.
    Pajares G
    IEEE Trans Neural Netw; 2006 Sep; 17(5):1250-64. PubMed ID: 17001985
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. A CURE for noisy magnetic resonance images: chi-square unbiased risk estimation.
    Luisier F; Blu T; Wolfe PJ
    IEEE Trans Image Process; 2012 Aug; 21(8):3454-66. PubMed ID: 22491082
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Automatic brain MR image denoising based on texture feature-based artificial neural networks.
    Chang YN; Chang HH
    Biomed Mater Eng; 2015; 26 Suppl 1():S1275-82. PubMed ID: 26405887
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A novel content-based active contour model for brain tumor segmentation.
    Sachdeva J; Kumar V; Gupta I; Khandelwal N; Ahuja CK
    Magn Reson Imaging; 2012 Jun; 30(5):694-715. PubMed ID: 22459443
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.