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 *

152 related articles for article (PubMed ID: 18051070)

  • 1. False positive reduction in mammographic mass detection using local binary patterns.
    Oliver A; Lladó X; Freixenet J; Martí J
    Med Image Comput Comput Assist Interv; 2007; 10(Pt 1):286-93. PubMed ID: 18051070
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A textural approach for mass false positive reduction in mammography.
    Lladó X; Oliver A; Freixenet J; Martí R; Martí J
    Comput Med Imaging Graph; 2009 Sep; 33(6):415-22. PubMed ID: 19406614
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Multi-scale textural feature extraction and particle swarm optimization based model selection for false positive reduction in mammography.
    Zyout I; Czajkowska J; Grzegorzek M
    Comput Med Imaging Graph; 2015 Dec; 46 Pt 2():95-107. PubMed ID: 25795630
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A method to test the reproducibility and to improve performance of computer-aided detection schemes for digitized mammograms.
    Zheng B; Gur D; Good WF; Hardesty LA
    Med Phys; 2004 Nov; 31(11):2964-72. PubMed ID: 15587648
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A concentric morphology model for the detection of masses in mammography.
    Eltonsy NH; Tourassi GD; Elmaghraby AS
    IEEE Trans Med Imaging; 2007 Jun; 26(6):880-9. PubMed ID: 17679338
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A novel featureless approach to mass detection in digital mammograms based on support vector machines.
    Campanini R; Dongiovanni D; Iampieri E; Lanconelli N; Masotti M; Palermo G; Riccardi A; Roffilli M
    Phys Med Biol; 2004 Mar; 49(6):961-75. PubMed ID: 15104319
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A review of automatic mass detection and segmentation in mammographic images.
    Oliver A; Freixenet J; Martí J; Pérez E; Pont J; Denton ER; Zwiggelaar R
    Med Image Anal; 2010 Apr; 14(2):87-110. PubMed ID: 20071209
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Multiview-based computer-aided detection scheme for breast masses.
    Zheng B; Leader JK; Abrams GS; Lu AH; Wallace LP; Maitz GS; Gur D
    Med Phys; 2006 Sep; 33(9):3135-43. PubMed ID: 17022205
    [TBL] [Abstract][Full Text] [Related]  

  • 9. An evaluation of contrast enhancement techniques for mammographic breast masses.
    Singh S; Bovis K
    IEEE Trans Inf Technol Biomed; 2005 Mar; 9(1):109-19. PubMed ID: 15787013
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Characterization of difference of Gaussian filters in the detection of mammographic regions.
    Catarious DM; Baydush AH; Floyd CE
    Med Phys; 2006 Nov; 33(11):4104-14. PubMed ID: 17153390
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Evaluation of information-theoretic similarity measures for content-based retrieval and detection of masses in mammograms.
    Tourassi GD; Harrawood B; Singh S; Lo JY; Floyd CE
    Med Phys; 2007 Jan; 34(1):140-50. PubMed ID: 17278499
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Improving performance of computer-aided detection scheme by combining results from two machine learning classifiers.
    Park SC; Pu J; Zheng B
    Acad Radiol; 2009 Mar; 16(3):266-74. PubMed ID: 19201355
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Computer-aided detection; the effect of training databases on detection of subtle breast masses.
    Zheng B; Wang X; Lederman D; Tan J; Gur D
    Acad Radiol; 2010 Nov; 17(11):1401-8. PubMed ID: 20650667
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A completely automated CAD system for mass detection in a large mammographic database.
    Bellotti R; De Carlo F; Tangaro S; Gargano G; Maggipinto G; Castellano M; Massafra R; Cascio D; Fauci F; Magro R; Raso G; Lauria A; Forni G; Bagnasco S; Cerello P; Zanon E; Cheran SC; Lopez Torres E; Bottigli U; Masala GL; Oliva P; Retico A; Fantacci ME; Cataldo R; De Mitri I; De Nunzio G
    Med Phys; 2006 Aug; 33(8):3066-75. PubMed ID: 16964885
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Temporal change analysis for characterization of mass lesions in mammography.
    Timp S; Varela C; Karssemeijer N
    IEEE Trans Med Imaging; 2007 Jul; 26(7):945-53. PubMed ID: 17649908
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Finding corresponding regions of interest in mediolateral oblique and craniocaudal mammographic views.
    van Engeland S; Timp S; Karssemeijer N
    Med Phys; 2006 Sep; 33(9):3203-12. PubMed ID: 17022213
    [TBL] [Abstract][Full Text] [Related]  

  • 17. An ellipse-fitting based method for efficient registration of breast masses on two mammographic views.
    Pu J; Zheng B; Leader JK; Gur D
    Med Phys; 2008 Feb; 35(2):487-94. PubMed ID: 18383669
    [TBL] [Abstract][Full Text] [Related]  

  • 18. SVM and neural networks comparison in mammographic CAD.
    García-Orellana CJ; Gallardo-Caballero R; Macías-Macias M; González-Velasco H
    Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():3204-7. PubMed ID: 18002677
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Improving performance of computer-aided detection of masses by incorporating bilateral mammographic density asymmetry: an assessment.
    Wang X; Li L; Xu W; Liu W; Lederman D; Zheng B
    Acad Radiol; 2012 Mar; 19(3):303-10. PubMed ID: 22173323
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A support vector machine approach for detection of microcalcifications.
    El-Naqa I; Yang Y; Wernick MN; Galatsanos NP; Nishikawa RM
    IEEE Trans Med Imaging; 2002 Dec; 21(12):1552-63. PubMed ID: 12588039
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.