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 *

260 related articles for article (PubMed ID: 20879210)

  • 21. Segmentation of thin structures in volumetric medical images.
    Holtzman-Gazit M; Kimmel R; Peled N; Goldsher D
    IEEE Trans Image Process; 2006 Feb; 15(2):354-63. PubMed ID: 16479805
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Segmenting lung fields in serial chest radiographs using both population and patient-specific shape statistics.
    Shi Y; Qi F; Xue Z; Ito K; Matsuo H; Shen D
    Med Image Comput Comput Assist Interv; 2006; 9(Pt 1):83-91. PubMed ID: 17354877
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Medical image analysis of 3D CT images based on extension of Haralick texture features.
    Tesar L; Shimizu A; Smutek D; Kobatake H; Nawano S
    Comput Med Imaging Graph; 2008 Sep; 32(6):513-20. PubMed ID: 18614335
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Medical image segmentation using minimal path deformable models with implicit shape priors.
    Yan P; Kassim AA
    IEEE Trans Inf Technol Biomed; 2006 Oct; 10(4):677-84. PubMed ID: 17044401
    [TBL] [Abstract][Full Text] [Related]  

  • 25. A family of principal component analyses for dealing with outliers.
    Iglesias JE; de Bruijne M; Loog M; Lauze F; Nielsen M
    Med Image Comput Comput Assist Interv; 2007; 10(Pt 2):178-85. PubMed ID: 18044567
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Joint optimization of segmentation and shape prior from level-set-based statistical shape model, and its application to the automated segmentation of abdominal organs.
    Saito A; Nawano S; Shimizu A
    Med Image Anal; 2016 Feb; 28():46-65. PubMed ID: 26716720
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Automated 3-D PDM construction from segmented images using deformable models.
    Kaus MR; Pekar V; Lorenz C; Truyen R; Lobregt S; Weese J
    IEEE Trans Med Imaging; 2003 Aug; 22(8):1005-13. PubMed ID: 12906254
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Globally optimal deformable registration on a minimum spanning tree using dense displacement sampling.
    Heinrich MP; Jenkinson M; Sir Michael Brady ; Schnabel JA
    Med Image Comput Comput Assist Interv; 2012; 15(Pt 3):115-22. PubMed ID: 23286121
    [TBL] [Abstract][Full Text] [Related]  

  • 29. [Segmenting lung fields in serial chest radiographs using both population and patient-specific shape statistics].
    Shi YH; Qi FH; Luan HX; Wu GR
    Zhongguo Yi Liao Qi Xie Za Zhi; 2006 Jul; 30(4):264-7, 255. PubMed ID: 17039934
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Automatic construction of statistical shape models using deformable simplex meshes with vector field convolution energy.
    Wang J; Shi C
    Biomed Eng Online; 2017 Apr; 16(1):49. PubMed ID: 28438178
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Segmenting lung fields in serial chest radiographs using both population-based and patient-specific shape statistics.
    Shi Y; Qi F; Xue Z; Chen L; Ito K; Matsuo H; Shen D
    IEEE Trans Med Imaging; 2008 Apr; 27(4):481-94. PubMed ID: 18390345
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Fast automatic segmentation of the esophagus from 3D CT data using a probabilistic model.
    Feulner J; Zhou SK; Cavallaro A; Seifert S; Hornegger J; Comaniciu D
    Med Image Comput Comput Assist Interv; 2009; 12(Pt 1):255-62. PubMed ID: 20425995
    [TBL] [Abstract][Full Text] [Related]  

  • 33. A 3D global-to-local deformable mesh model based registration and anatomy-constrained segmentation method for image guided prostate radiotherapy.
    Zhou J; Kim S; Jabbour S; Goyal S; Haffty B; Chen T; Levinson L; Metaxas D; Yue NJ
    Med Phys; 2010 Mar; 37(3):1298-308. PubMed ID: 20384267
    [TBL] [Abstract][Full Text] [Related]  

  • 34. An Optimized Superpixel Clustering Approach for High-Resolution Chest CT Image Segmentation.
    Pinheiro da Rosa R; Cordeiro d'Ornellas M
    Stud Health Technol Inform; 2015; 216():1045. PubMed ID: 26262344
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Automated segmentation of the femur and pelvis from 3D CT data of diseased hip using hierarchical statistical shape model of joint structure.
    Yokota F; Okada T; Takao M; Sugano N; Tada Y; Sato Y
    Med Image Comput Comput Assist Interv; 2009; 12(Pt 2):811-8. PubMed ID: 20426186
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Automatic segmentation of bladder and prostate using coupled 3D deformable models.
    Costa MJ; Delingette H; Novellas S; Ayache N
    Med Image Comput Comput Assist Interv; 2007; 10(Pt 1):252-60. PubMed ID: 18051066
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Locally-constrained boundary regression for segmentation of prostate and rectum in the planning CT images.
    Shao Y; Gao Y; Wang Q; Yang X; Shen D
    Med Image Anal; 2015 Dec; 26(1):345-56. PubMed ID: 26439938
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Combining generative and discriminative models for semantic segmentation of CT scans via active learning.
    Iglesias JE; Konukoglu E; Montillo A; Tu Z; Criminisi A
    Inf Process Med Imaging; 2011; 22():25-36. PubMed ID: 21761643
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Model-based segmentation using graph representations.
    Seghers D; Hermans J; Loeckx D; Maes F; Vandermeulen D; Suetens P
    Med Image Comput Comput Assist Interv; 2008; 11(Pt 1):393-400. PubMed ID: 18979771
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Fast and robust clinical triple-region image segmentation using one level set function.
    Li S; Fevens T; Krzyzak A; Jin C; Li S
    Med Image Comput Comput Assist Interv; 2006; 9(Pt 2):766-73. PubMed ID: 17354842
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 13.