BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

191 related articles for article (PubMed ID: 20175484)

  • 21. Malignant lesion segmentation in contrast-enhanced breast MR images based on the marker-controlled watershed.
    Cui Y; Tan Y; Zhao B; Liberman L; Parbhu R; Kaplan J; Theodoulou M; Hudis C; Schwartz LH
    Med Phys; 2009 Oct; 36(10):4359-69. PubMed ID: 19928066
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Characterization of breast cancer types by texture analysis of magnetic resonance images.
    Holli K; Lääperi AL; Harrison L; Luukkaala T; Toivonen T; Ryymin P; Dastidar P; Soimakallio S; Eskola H
    Acad Radiol; 2010 Feb; 17(2):135-41. PubMed ID: 19945302
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Three-dimensional microwave imaging of realistic numerical breast phantoms via a multiple-frequency inverse scattering technique.
    Shea JD; Kosmas P; Hagness SC; Van Veen BD
    Med Phys; 2010 Aug; 37(8):4210-26. PubMed ID: 20879582
    [TBL] [Abstract][Full Text] [Related]  

  • 24. A simple and robust classification tree for differentiation between benign and malignant lesions in MR-mammography.
    Baltzer PA; Dietzel M; Gröschel T; Kaiser WA
    Eur J Radiol; 2012 Sep; 81 Suppl 1():S4-5. PubMed ID: 23083596
    [No Abstract]   [Full Text] [Related]  

  • 25. 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]  

  • 26. Multistage processing procedure for 4D breast MRI segmentation.
    Qi W; Hui D; Guang-zhi W
    Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():3036-9. PubMed ID: 19163346
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Invasive Breast Cancer Preferably and Predominantly Occurs at the Interface Between Fibroglandular and Adipose Tissue.
    Zhu W; Harvey S; Macura KJ; Euhus DM; Artemov D
    Clin Breast Cancer; 2017 Feb; 17(1):e11-e18. PubMed ID: 27568102
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Agreement of mammographic measures of volumetric breast density to MRI.
    Wang J; Azziz A; Fan B; Malkov S; Klifa C; Newitt D; Yitta S; Hylton N; Kerlikowske K; Shepherd JA
    PLoS One; 2013; 8(12):e81653. PubMed ID: 24324712
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Factors affecting the rate of false positive marks in CAD in full-field digital mammography.
    Engelken F; Bremme R; Bick U; Hammann-Kloss S; Fallenberg EM
    Eur J Radiol; 2012 Aug; 81(8):e844-8. PubMed ID: 22647420
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Comparison of 3-point Dixon imaging and fuzzy C-means clustering methods for breast density measurement.
    Clendenen TV; Zeleniuch-Jacquotte A; Moy L; Pike MC; Rusinek H; Kim S
    J Magn Reson Imaging; 2013 Aug; 38(2):474-81. PubMed ID: 23292922
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Fatty and fibroglandular tissue volumes in the breasts of women 20-83 years old: comparison of X-ray mammography and computer-assisted MR imaging.
    Lee NA; Rusinek H; Weinreb J; Chandra R; Toth H; Singer C; Newstead G
    AJR Am J Roentgenol; 1997 Feb; 168(2):501-6. PubMed ID: 9016235
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Fully automatic lesion segmentation in breast MRI using mean-shift and graph-cuts on a region adjacency graph.
    McClymont D; Mehnert A; Trakic A; Kennedy D; Crozier S
    J Magn Reson Imaging; 2014 Apr; 39(4):795-804. PubMed ID: 24783238
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Intravoxel incoherent motion (IVIM) in evaluation of breast lesions: comparison with conventional DWI.
    Liu C; Liang C; Liu Z; Zhang S; Huang B
    Eur J Radiol; 2013 Dec; 82(12):e782-9. PubMed ID: 24034833
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Age- and race-dependence of the fibroglandular breast density analyzed on 3D MRI.
    Nie K; Su MY; Chau MK; Chan S; Nguyen H; Tseng T; Huang Y; McLaren CE; Nalcioglu O; Chen JH
    Med Phys; 2010 Jun; 37(6):2770-6. PubMed ID: 20632587
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Lobular carcinoma in situ of the breast: clinical, pathologic, and mammographic features.
    Beute BJ; Kalisher L; Hutter RV
    AJR Am J Roentgenol; 1991 Aug; 157(2):257-65. PubMed ID: 1853802
    [TBL] [Abstract][Full Text] [Related]  

  • 36. 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]  

  • 37. Breast MRI background parenchymal enhancement (BPE) correlates with the risk of breast cancer.
    Telegrafo M; Rella L; Stabile Ianora AA; Angelelli G; Moschetta M
    Magn Reson Imaging; 2016 Feb; 34(2):173-6. PubMed ID: 26597834
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Textural kinetics: a novel dynamic contrast-enhanced (DCE)-MRI feature for breast lesion classification.
    Agner SC; Soman S; Libfeld E; McDonald M; Thomas K; Englander S; Rosen MA; Chin D; Nosher J; Madabhushi A
    J Digit Imaging; 2011 Jun; 24(3):446-63. PubMed ID: 20508965
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Improved breast cancer detection in asymptomatic women using 3D-automated breast ultrasound in mammographically dense breasts.
    Giuliano V; Giuliano C
    Clin Imaging; 2013; 37(3):480-6. PubMed ID: 23116728
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Application of computer-aided diagnosis (CAD) in MR-mammography (MRM): do we really need whole lesion time curve distribution analysis?
    Baltzer PA; Renz DM; Kullnig PE; Gajda M; Camara O; Kaiser WA
    Acad Radiol; 2009 Apr; 16(4):435-42. PubMed ID: 19268855
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 10.