BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

158 related articles for article (PubMed ID: 18002210)

  • 41. Segmentation of malignant lesions in 3D breast ultrasound using a depth-dependent model.
    Tan T; Gubern-Mérida A; Borelli C; Manniesing R; van Zelst J; Wang L; Zhang W; Platel B; Mann RM; Karssemeijer N
    Med Phys; 2016 Jul; 43(7):4074. PubMed ID: 27370126
    [TBL] [Abstract][Full Text] [Related]  

  • 42. Automatic identification and classification of characteristic kinetic curves of breast lesions on DCE-MRI.
    Chen W; Giger ML; Bick U; Newstead GM
    Med Phys; 2006 Aug; 33(8):2878-87. PubMed ID: 16964864
    [TBL] [Abstract][Full Text] [Related]  

  • 43. Real-time SPECT and 2D ultrasound image registration.
    Bucki M; Chassat F; Galdames F; Asahi T; Pizarro D; Lobo G
    Med Image Comput Comput Assist Interv; 2007; 10(Pt 2):219-26. PubMed ID: 18044572
    [TBL] [Abstract][Full Text] [Related]  

  • 44. Phantom validation of coregistration of PET and CT for image-guided radiotherapy.
    Lavely WC; Scarfone C; Cevikalp H; Li R; Byrne DW; Cmelak AJ; Dawant B; Price RR; Hallahan DE; Fitzpatrick JM
    Med Phys; 2004 May; 31(5):1083-92. PubMed ID: 15191296
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Simulation and fully automatic multimodal registration of medical ultrasound.
    Wein W; Khamene A; Clevert DA; Kutter O; Navab N
    Med Image Comput Comput Assist Interv; 2007; 10(Pt 1):136-43. PubMed ID: 18051053
    [TBL] [Abstract][Full Text] [Related]  

  • 46. Segmentation of solid nodules in ultrasonographic breast image based on wavelet transform.
    Park S; Kong HJ; Moon WK; Kim HC
    Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():5650-3. PubMed ID: 18003294
    [TBL] [Abstract][Full Text] [Related]  

  • 47. Interpretation of automated breast ultrasound (ABUS) with and without knowledge of mammography: a reader performance study.
    Skaane P; Gullien R; Eben EB; Sandhaug M; Schulz-Wendtland R; Stoeblen F
    Acta Radiol; 2015 Apr; 56(4):404-12. PubMed ID: 24682405
    [TBL] [Abstract][Full Text] [Related]  

  • 48. Reducing motion artifacts in 3-D breast ultrasound using non-linear registration.
    Boehler T; Peitgen HO
    Med Image Comput Comput Assist Interv; 2008; 11(Pt 2):998-1005. PubMed ID: 18982702
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Computer-aided detection (CAD) for breast MRI: evaluation of efficacy at 3.0 T.
    Meeuwis C; van de Ven SM; Stapper G; Fernandez Gallardo AM; van den Bosch MA; Mali WP; Veldhuis WB
    Eur Radiol; 2010 Mar; 20(3):522-8. PubMed ID: 19727750
    [TBL] [Abstract][Full Text] [Related]  

  • 50. Tracking of carotid arteries in ultrasound images.
    Liu S; Padfield D; Mendonca P
    Med Image Comput Comput Assist Interv; 2013; 16(Pt 2):526-33. PubMed ID: 24579181
    [TBL] [Abstract][Full Text] [Related]  

  • 51. A review of 3D/2D registration methods for image-guided interventions.
    Markelj P; Tomaževič D; Likar B; Pernuš F
    Med Image Anal; 2012 Apr; 16(3):642-61. PubMed ID: 20452269
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Accuracy of an automated breast volume ultrasound system for assessment of the pre-operative extent of pure ductal carcinoma in situ: comparison with a conventional handheld ultrasound examination.
    Li N; Jiang YX; Zhu QL; Zhang J; Dai Q; Liu H; Yang Q; Wang HY; Lai XJ; Sun Q
    Ultrasound Med Biol; 2013 Dec; 39(12):2255-63. PubMed ID: 24035630
    [TBL] [Abstract][Full Text] [Related]  

  • 53. Automatic multimodal 2D/3D breast image registration using biomechanical FEM models and intensity-based optimization.
    Hopp T; Dietzel M; Baltzer PA; Kreisel P; Kaiser WA; Gemmeke H; Ruiter NV
    Med Image Anal; 2013 Feb; 17(2):209-18. PubMed ID: 23265802
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Computerized characterization of breast masses on three-dimensional ultrasound volumes.
    Sahiner B; Chan HP; Roubidoux MA; Helvie MA; Hadjiiski LM; Ramachandran A; Paramagul C; LeCarpentier GL; Nees A; Blane C
    Med Phys; 2004 Apr; 31(4):744-54. PubMed ID: 15124991
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Breast Density Analysis with Automated Whole-Breast Ultrasound: Comparison with 3-D Magnetic Resonance Imaging.
    Chen JH; Lee YW; Chan SW; Yeh DC; Chang RF
    Ultrasound Med Biol; 2016 May; 42(5):1211-20. PubMed ID: 26831342
    [TBL] [Abstract][Full Text] [Related]  

  • 56. Non-rigid registration of breast images using feature points.
    Zhang W; Wessel C; Ho CP; Brady M
    Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():4387-90. PubMed ID: 21096646
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Medical breast ultrasound image segmentation by machine learning.
    Xu Y; Wang Y; Yuan J; Cheng Q; Wang X; Carson PL
    Ultrasonics; 2019 Jan; 91():1-9. PubMed ID: 30029074
    [TBL] [Abstract][Full Text] [Related]  

  • 58. MIND: modality independent neighbourhood descriptor for multi-modal deformable registration.
    Heinrich MP; Jenkinson M; Bhushan M; Matin T; Gleeson FV; Brady SM; Schnabel JA
    Med Image Anal; 2012 Oct; 16(7):1423-35. PubMed ID: 22722056
    [TBL] [Abstract][Full Text] [Related]  

  • 59. Target lesion selection: an important factor causing variability of response classification in the Response Evaluation Criteria for Solid Tumors 1.1.
    Keil S; Barabasch A; Dirrichs T; Bruners P; Hansen NL; Bieling HB; Brümmendorf TH; Kuhl CK
    Invest Radiol; 2014 Aug; 49(8):509-17. PubMed ID: 24651664
    [TBL] [Abstract][Full Text] [Related]  

  • 60. Three-dimensional surface relief completion via nonparametric techniques.
    Breckon TP; Fisher RB
    IEEE Trans Pattern Anal Mach Intell; 2008 Dec; 30(12):2249-55. PubMed ID: 18988957
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.