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 *

144 related articles for article (PubMed ID: 23836079)

  • 1. A vector machine formulation with application to the computer-aided diagnosis of breast cancer from DCE-MRI screening examinations.
    Levman JE; Warner E; Causer P; Martel AL
    J Digit Imaging; 2014 Feb; 27(1):145-51. PubMed ID: 23836079
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Computer-aided diagnosis of breast DCE-MRI images using bilateral asymmetry of contrast enhancement between two breasts.
    Yang Q; Li L; Zhang J; Shao G; Zhang C; Zheng B
    J Digit Imaging; 2014 Feb; 27(1):152-60. PubMed ID: 24043592
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Computer-aided diagnosis of breast cancer from magnetic resonance imaging examinations by custom radial basis function vector machine.
    Levman J; Martel AL
    Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():5577-80. PubMed ID: 21096482
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Multilevel analysis of spatiotemporal association features for differentiation of tumor enhancement patterns in breast DCE-MRI.
    Lee SH; Kim JH; Cho N; Park JS; Yang Z; Jung YS; Moon WK
    Med Phys; 2010 Aug; 37(8):3940-56. PubMed ID: 20879557
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A new quantitative image analysis method for improving breast cancer diagnosis using DCE-MRI examinations.
    Yang Q; Li L; Zhang J; Shao G; Zheng B
    Med Phys; 2015 Jan; 42(1):103-9. PubMed ID: 25563251
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Characterization of spatiotemporal changes for the classification of dynamic contrast-enhanced magnetic-resonance breast lesions.
    Milenković J; Hertl K; Košir A; Zibert J; Tasič JF
    Artif Intell Med; 2013 Jun; 58(2):101-14. PubMed ID: 23548472
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Semi-automatic region-of-interest segmentation based computer-aided diagnosis of mass lesions from dynamic contrast-enhanced magnetic resonance imaging based breast cancer screening.
    Levman J; Warner E; Causer P; Martel A
    J Digit Imaging; 2014 Oct; 27(5):670-8. PubMed ID: 25091735
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Computer-aided diagnosis for dynamic contrast-enhanced breast MRI of mass-like lesions using a multiparametric model combining a selection of morphological, kinetic, and spatiotemporal features.
    Agliozzo S; De Luca M; Bracco C; Vignati A; Giannini V; Martincich L; Carbonaro LA; Bert A; Sardanelli F; Regge D
    Med Phys; 2012 Apr; 39(4):1704-15. PubMed ID: 22482596
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Classification of breast mass lesions using model-based analysis of the characteristic kinetic curve derived from fuzzy c-means clustering.
    Chang YC; Huang YH; Huang CS; Chang PK; Chen JH; Chang RF
    Magn Reson Imaging; 2012 Apr; 30(3):312-22. PubMed ID: 22245697
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Prostate cancer detection on dynamic contrast-enhanced MRI: computer-aided diagnosis versus single perfusion parameter maps.
    Sung YS; Kwon HJ; Park BW; Cho G; Lee CK; Cho KS; Kim JK
    AJR Am J Roentgenol; 2011 Nov; 197(5):1122-9. PubMed ID: 22021504
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A Metric for Reducing False Positives in the Computer-Aided Detection of Breast Cancer from Dynamic Contrast-Enhanced Magnetic Resonance Imaging Based Screening Examinations of High-Risk Women.
    Levman JE; Gallego-Ortiz C; Warner E; Causer P; Martel AL
    J Digit Imaging; 2016 Feb; 29(1):126-33. PubMed ID: 26293705
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A computer-aided diagnosis system for dynamic contrast-enhanced MR images based on level set segmentation and ReliefF feature selection.
    Pang Z; Zhu D; Chen D; Li L; Shao Y
    Comput Math Methods Med; 2015; 2015():450531. PubMed ID: 25628755
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Feature selection in computer-aided breast cancer diagnosis via dynamic contrast-enhanced magnetic resonance images.
    Rakoczy M; McGaughey D; Korenberg MJ; Levman J; Martel AL
    J Digit Imaging; 2013 Apr; 26(2):198-208. PubMed ID: 22828783
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Effect of the enhancement threshold on the computer-aided detection of breast cancer using MRI.
    Levman JE; Causer P; Warner E; Martel AL
    Acad Radiol; 2009 Sep; 16(9):1064-9. PubMed ID: 19515584
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. A computer-aided diagnosis system for breast DCE-MRI at high spatiotemporal resolution.
    Dalmış MU; Gubern-Mérida A; Vreemann S; Karssemeijer N; Mann R; Platel B
    Med Phys; 2016 Jan; 43(1):84. PubMed ID: 26745902
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Textural analysis of early-phase spatiotemporal changes in contrast enhancement of breast lesions imaged with an ultrafast DCE-MRI protocol.
    Milenković J; Dalmış MU; Žgajnar J; Platel B
    Med Phys; 2017 Sep; 44(9):4652-4664. PubMed ID: 28622412
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Computer-aided diagnosis of contrast-enhanced spectral mammography: A feasibility study.
    Patel BK; Ranjbar S; Wu T; Pockaj BA; Li J; Zhang N; Lobbes M; Zhang B; Mitchell JR
    Eur J Radiol; 2018 Jan; 98():207-213. PubMed ID: 29279165
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Evaluation of clinical breast MR imaging performed with prototype computer-aided diagnosis breast MR imaging workstation: reader study.
    Shimauchi A; Giger ML; Bhooshan N; Lan L; Pesce LL; Lee JK; Abe H; Newstead GM
    Radiology; 2011 Mar; 258(3):696-704. PubMed ID: 21212365
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.