BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

78 related articles for article (PubMed ID: 23771304)

  • 1. A likelihood and local constraint level set model for liver tumor segmentation from CT volumes.
    Li C; Wang X; Eberl S; Fulham M; Yin Y; Chen J; Feng DD
    IEEE Trans Biomed Eng; 2013 Oct; 60(10):2967-77. PubMed ID: 23771304
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A conditional statistical shape model with integrated error estimation of the conditions; application to liver segmentation in non-contrast CT images.
    Tomoshige S; Oost E; Shimizu A; Watanabe H; Nawano S
    Med Image Anal; 2014 Jan; 18(1):130-43. PubMed ID: 24184436
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. 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]  

  • 5. Supervised variational model with statistical inference and its application in medical image segmentation.
    Li C; Wang X; Eberl S; Fulham M; Yin Y; Dagan Feng D
    IEEE Trans Biomed Eng; 2015 Jan; 62(1):196-207. PubMed ID: 25099393
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Mammography segmentation with maximum likelihood active contours.
    Rahmati P; Adler A; Hamarneh G
    Med Image Anal; 2012 Aug; 16(6):1167-86. PubMed ID: 22831774
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A generic probabilistic active shape model for organ segmentation.
    Wimmer A; Soza G; Hornegger J
    Med Image Comput Comput Assist Interv; 2009; 12(Pt 2):26-33. PubMed ID: 20426092
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A density distance augmented Chan-Vese active contour for CT bone segmentation.
    Truc PT; Lee S; Kim TS
    Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():482-5. PubMed ID: 19162698
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Tumor sensitive matching flow: A variational method to detecting and segmenting perihepatic and perisplenic ovarian cancer metastases on contrast-enhanced abdominal CT.
    Liu J; Wang S; Linguraru MG; Yao J; Summers RM
    Med Image Anal; 2014 Jul; 18(5):725-39. PubMed ID: 24835180
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Rapid assessment of liver volumetry by a novel automated segmentation algorithm.
    Zahel T; Wildgruber M; Ardon R; Schuster T; Rummeny EJ; Dobritz M
    J Comput Assist Tomogr; 2013; 37(4):577-82. PubMed ID: 23863535
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 3D liver segmentation using multiple region appearances and graph cuts.
    Peng J; Hu P; Lu F; Peng Z; Kong D; Zhang H
    Med Phys; 2015 Dec; 42(12):6840-52. PubMed ID: 26632041
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Intracranial aneurysm segmentation in 3D CT angiography: method and quantitative validation with and without prior noise filtering.
    Firouzian A; Manniesing R; Flach ZH; Risselada R; van Kooten F; Sturkenboom MC; van der Lugt A; Niessen WJ
    Eur J Radiol; 2011 Aug; 79(2):299-304. PubMed ID: 20346606
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Atlas-based automated segmentation of spleen and liver using adaptive enhancement estimation.
    Linguraru MG; Sandberg JK; Li Z; Pura JA; Summers RM
    Med Image Comput Comput Assist Interv; 2009; 12(Pt 2):1001-8. PubMed ID: 20426209
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Automated segmentation of the liver from 3D CT images using probabilistic atlas and multilevel statistical shape model.
    Okada T; Shimada R; Hori M; Nakamoto M; Chen YW; Nakamura H; Sato Y
    Acad Radiol; 2008 Nov; 15(11):1390-403. PubMed ID: 18995190
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A homotopy-based sparse representation for fast and accurate shape prior modeling in liver surgical planning.
    Wang G; Zhang S; Xie H; Metaxas DN; Gu L
    Med Image Anal; 2015 Jan; 19(1):176-86. PubMed ID: 25461336
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Level set method with automatic selective local statistics for brain tumor segmentation in MR images.
    Thapaliya K; Pyun JY; Park CS; Kwon GR
    Comput Med Imaging Graph; 2013; 37(7-8):522-37. PubMed ID: 24148784
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Simulation of biphasic CT findings in hepatic cellular carcinoma by a two-level physiological model.
    Kretowski M; Bezy-Wendling J; Coupe P
    IEEE Trans Biomed Eng; 2007 Mar; 54(3):538-42. PubMed ID: 17355068
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Automatic model-guided segmentation of the human brain ventricular system from CT images.
    Liu J; Huang S; Ihar V; Ambrosius W; Lee LC; Nowinski WL
    Acad Radiol; 2010 Jun; 17(6):718-26. PubMed ID: 20457415
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Three-dimensional morphometric analysis for hepatectomy of centrally located hepatocellular carcinoma: a pilot study.
    Tian F; Wu JX; Rong WQ; Wang LM; Wu F; Yu WB; An SL; Liu FQ; Feng L; Bi C; Liu YH
    World J Gastroenterol; 2015 Apr; 21(15):4607-19. PubMed ID: 25914470
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Segmentation of neck lymph nodes in CT datasets with stable 3D mass-spring models segmentation of neck lymph nodes.
    Dornheim J; Seim H; Preim B; Hertel I; Strauss G
    Acad Radiol; 2007 Nov; 14(11):1389-99. PubMed ID: 17964462
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 4.