BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

125 related articles for article (PubMed ID: 20574799)

  • 1. Liver tumors segmentation from CTA images using voxels classification and affinity constraint propagation.
    Freiman M; Cooper O; Lischinski D; Joskowicz L
    Int J Comput Assist Radiol Surg; 2011 Mar; 6(2):247-55. PubMed ID: 20574799
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A bayesian approach for liver analysis: algorithm and validation study.
    Freiman M; Eliassaf O; Taieb Y; Joskowicz L; Sosna J
    Med Image Comput Comput Assist Interv; 2008; 11(Pt 1):85-92. PubMed ID: 18979735
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Semi-automatic level set segmentation of liver tumors combining a spiral-scanning technique with supervised fuzzy pixel classification.
    Smeets D; Loeckx D; Stijnen B; De Dobbelaer B; Vandermeulen D; Suetens P
    Med Image Anal; 2010 Feb; 14(1):13-20. PubMed ID: 19828356
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Semi-automatic liver tumor segmentation with hidden Markov measure field model and non-parametric distribution estimation.
    Häme Y; Pollari M
    Med Image Anal; 2012 Jan; 16(1):140-9. PubMed ID: 21742543
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Iterative mesh transformation for 3D segmentation of livers with cancers in CT images.
    Lu D; Wu Y; Harris G; Cai W
    Comput Med Imaging Graph; 2015 Jul; 43():1-14. PubMed ID: 25728595
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Interactive liver tumor segmentation from ct scans using support vector classification with watershed.
    Zhang X; Tian J; Xiang D; Li X; Deng K
    Annu Int Conf IEEE Eng Med Biol Soc; 2011; 2011():6005-8. PubMed ID: 22255708
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A new fully automatic and robust algorithm for fast segmentation of liver tissue and tumors from CT scans.
    Massoptier L; Casciaro S
    Eur Radiol; 2008 Aug; 18(8):1658-65. PubMed ID: 18369633
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Semiautomatic segmentation of liver metastases on volumetric CT images.
    Yan J; Schwartz LH; Zhao B
    Med Phys; 2015 Nov; 42(11):6283-93. PubMed ID: 26520721
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Fast and robust semi-automatic liver segmentation with haptic interaction.
    Vidholm E; Nilsson S; Nyström I
    Med Image Comput Comput Assist Interv; 2006; 9(Pt 2):774-81. PubMed ID: 17354843
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Blood vessel-based liver segmentation using the portal phase of an abdominal CT dataset.
    Maklad AS; Matsuhiro M; Suzuki H; Kawata Y; Niki N; Satake M; Moriyama N; Utsunomiya T; Shimada M
    Med Phys; 2013 Nov; 40(11):113501. PubMed ID: 24320472
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Semi-automatic segmentation methods for 3-D visualization and analysis of the liver.
    Selver MA; Fischer F; Gezer S; Hillen W; Dicle O
    Stud Health Technol Inform; 2014; 205():1133-7. PubMed ID: 25160366
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Automatic Liver Segmentation from CT Images Using Single-Block Linear Detection.
    Huang L; Weng M; Shuai H; Huang Y; Sun J; Gao F
    Biomed Res Int; 2016; 2016():9420148. PubMed ID: 27631012
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Automatic rib segmentation and labeling in computed tomography scans using a general framework for detection, recognition and segmentation of objects in volumetric data.
    Staal J; van Ginneken B; Viergever MA
    Med Image Anal; 2007 Feb; 11(1):35-46. PubMed ID: 17126065
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Image segmentation errors correction by mesh segmentation and deformation.
    Kronman A; Joskowicz L
    Med Image Comput Comput Assist Interv; 2013; 16(Pt 2):206-13. PubMed ID: 24579142
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Fast automatic 3D liver segmentation based on a three-level AdaBoost-guided active shape model.
    He B; Huang C; Sharp G; Zhou S; Hu Q; Fang C; Fan Y; Jia F
    Med Phys; 2016 May; 43(5):2421. PubMed ID: 27147353
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Non-parametric iterative model constraint graph min-cut for automatic kidney segmentation.
    Freiman M; Kronman A; Esses SJ; Joskowicz L; Sosna J
    Med Image Comput Comput Assist Interv; 2010; 13(Pt 3):73-80. PubMed ID: 20879385
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A segmentation and reconstruction technique for 3D vascular structures.
    Luboz V; Wu X; Krissian K; Westin CF; Kikinis R; Cotin S; Dawson S
    Med Image Comput Comput Assist Interv; 2005; 8(Pt 1):43-50. PubMed ID: 16685827
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Three-dimensional lung tumor segmentation from x-ray computed tomography using sparse field active models.
    Awad J; Owrangi A; Villemaire L; O'Riordan E; Parraga G; Fenster A
    Med Phys; 2012 Feb; 39(2):851-65. PubMed ID: 22320795
    [TBL] [Abstract][Full Text] [Related]  

  • 19. AISLE: an automatic volumetric segmentation method for the study of lung allometry.
    Ren H; Kazanzides P
    Stud Health Technol Inform; 2011; 163():476-8. PubMed ID: 21335842
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Robust automatic segmentation of multiple implanted cylindrical gold fiducial markers in cone-beam CT projections.
    Fledelius W; Worm E; Elstrøm UV; Petersen JB; Grau C; Høyer M; Poulsen PR
    Med Phys; 2011 Dec; 38(12):6351-61. PubMed ID: 22149818
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.