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 *

115 related articles for article (PubMed ID: 26728097)

  • 1. Fully automated liver segmentation using Sobolev gradient-based level set evolution.
    Göçeri E
    Int J Numer Method Biomed Eng; 2016 Nov; 32(11):. PubMed ID: 26728097
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Fully automated liver segmentation from SPIR image series.
    Göçeri E; Gürcan MN; Dicle O
    Comput Biol Med; 2014 Oct; 53():265-78. PubMed ID: 25192606
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Vessel segmentation from abdominal magnetic resonance images: adaptive and reconstructive approach.
    Goceri E; Shah ZK; Gurcan MN
    Int J Numer Method Biomed Eng; 2017 Apr; 33(4):. PubMed ID: 27315322
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Computer-aided measurement of liver volumes in CT by means of geodesic active contour segmentation coupled with level-set algorithms.
    Suzuki K; Kohlbrenner R; Epstein ML; Obajuluwa AM; Xu J; Hori M
    Med Phys; 2010 May; 37(5):2159-66. PubMed ID: 20527550
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Integrating spatial fuzzy clustering with level set methods for automated medical image segmentation.
    Li BN; Chui CK; Chang S; Ong SH
    Comput Biol Med; 2011 Jan; 41(1):1-10. PubMed ID: 21074756
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Liver segmentation with new supervised method to create initial curve for active contour.
    Zareei A; Karimi A
    Comput Biol Med; 2016 Aug; 75():139-50. PubMed ID: 27286186
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A novel region-based level set method initialized with mean shift clustering for automated medical image segmentation.
    Bai PR; Liu QY; Li L; Teng SH; Li J; Cao MY
    Comput Biol Med; 2013 Nov; 43(11):1827-32. PubMed ID: 24209928
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Distance regularized level set evolution and its application to image segmentation.
    Li C; Xu C; Gui C; Fox MD
    IEEE Trans Image Process; 2010 Dec; 19(12):3243-54. PubMed ID: 20801742
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Efficient liver segmentation using a level-set method with optimal detection of the initial liver boundary from level-set speed images.
    Lee J; Kim N; Lee H; Seo JB; Won HJ; Shin YM; Shin YG; Kim SH
    Comput Methods Programs Biomed; 2007 Oct; 88(1):26-38. PubMed ID: 17719125
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A novel level set model with automated initialization and controlling parameters for medical image segmentation.
    Liu Q; Jiang M; Bai P; Yang G
    Comput Med Imaging Graph; 2016 Mar; 48():21-9. PubMed ID: 26748038
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Semiautomatic segmentation of aortic valve from sequenced ultrasound image using a novel shape-constraint GCV model.
    Guo Y; Dong B; Wang B; Xie H; Zhang S; Gu L
    Med Phys; 2014 Jul; 41(7):072901. PubMed ID: 24989411
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Level Set Based Hippocampus Segmentation in MR Images with Improved Initialization Using Region Growing.
    Jiang X; Zhou Z; Ding X; Deng X; Zou L; Li B
    Comput Math Methods Med; 2017; 2017():5256346. PubMed ID: 28191031
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Efficient liver segmentation in CT images based on graph cuts and bottleneck detection.
    Liao M; Zhao YQ; Wang W; Zeng YZ; Yang Q; Shih FY; Zou BJ
    Phys Med; 2016 Nov; 32(11):1383-1396. PubMed ID: 27771278
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Fully automated, level set-based segmentation for knee MRIs using an adaptive force function and template: data from the osteoarthritis initiative.
    Ahn C; Bui TD; Lee YW; Shin J; Park H
    Biomed Eng Online; 2016 Aug; 15(1):99. PubMed ID: 27558127
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Partitioned edge-function-scaled region-based active contour (p-ESRAC): automated liver segmentation in multiphase contrast-enhanced MRI.
    Oh J; Martin DR; Hu X
    Med Phys; 2014 Apr; 41(4):041914. PubMed ID: 24694145
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Cardiac segmentation by a velocity-aided active contour model.
    Cho J; Benkeser PJ
    Comput Med Imaging Graph; 2006 Jan; 30(1):31-41. PubMed ID: 16378714
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Image-guided regularization level set evolution for MR image segmentation and bias field correction.
    Wang L; Pan C
    Magn Reson Imaging; 2014 Jan; 32(1):71-83. PubMed ID: 24239334
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Hybrid method combining superpixel, random walk and active contour model for fast and accurate liver segmentation.
    Yuan Y; Chen YW; Dong C; Yu H; Zhu Z
    Comput Med Imaging Graph; 2018 Dec; 70():119-134. PubMed ID: 30359946
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.