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Journal Abstract Search

805 related items for PubMed ID: 19201355

  • 1. 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
    [Abstract] [Full Text] [Related]

  • 2. 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
    [Abstract] [Full Text] [Related]

  • 3. 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
    [Abstract] [Full Text] [Related]

  • 4. 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
    [Abstract] [Full Text] [Related]

  • 5. Dual system approach to computer-aided detection of breast masses on mammograms.
    Wei J, Chan HP, Sahiner B, Hadjiiski LM, Helvie MA, Roubidoux MA, Zhou C, Ge J.
    Med Phys; 2006 Nov; 33(11):4157-68. PubMed ID: 17153394
    [Abstract] [Full Text] [Related]

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  • 7. Computerized detection of breast tissue asymmetry depicted on bilateral mammograms: a preliminary study of breast risk stratification.
    Wang X, Lederman D, Tan J, Wang XH, Zheng B.
    Acad Radiol; 2010 Oct; 17(10):1234-41. PubMed ID: 20619697
    [Abstract] [Full Text] [Related]

  • 8. A new and fast image feature selection method for developing an optimal mammographic mass detection scheme.
    Tan M, Pu J, Zheng B.
    Med Phys; 2014 Aug; 41(8):081906. PubMed ID: 25086537
    [Abstract] [Full Text] [Related]

  • 9. Assessment of performance improvement in content-based medical image retrieval schemes using fractal dimension.
    Park SC, Wang XH, Zheng B.
    Acad Radiol; 2009 Oct; 16(10):1171-8. PubMed ID: 19524455
    [Abstract] [Full Text] [Related]

  • 10. Matching breast masses depicted on different views a comparison of three methods.
    Zheng B, Tan J, Ganott MA, Chough DM, Gur D.
    Acad Radiol; 2009 Nov; 16(11):1338-47. PubMed ID: 19632867
    [Abstract] [Full Text] [Related]

  • 11. Computer aided detection of clusters of microcalcifications on full field digital mammograms.
    Ge J, Sahiner B, Hadjiiski LM, Chan HP, Wei J, Helvie MA, Zhou C.
    Med Phys; 2006 Aug; 33(8):2975-88. PubMed ID: 16964876
    [Abstract] [Full Text] [Related]

  • 12. Investigation of optimal use of computer-aided detection systems: the role of the "machine" in decision making process.
    Paquerault S, Hardy PT, Wersto N, Chen J, Smith RC.
    Acad Radiol; 2010 Sep; 17(9):1112-21. PubMed ID: 20605489
    [Abstract] [Full Text] [Related]

  • 13. Investigation of reading mode and relative sensitivity as factors that influence reader performance when using computer-aided detection software.
    Paquerault S, Samuelson FW, Petrick N, Myers KJ, Smith RC.
    Acad Radiol; 2009 Sep; 16(9):1095-107. PubMed ID: 19523855
    [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
    [Abstract] [Full Text] [Related]

  • 15. Combining multiple feature representations and AdaBoost ensemble learning for reducing false-positive detections in computer-aided detection of masses on mammograms.
    Choi JY, Kim DH, Plataniotis KN, Ro YM.
    Annu Int Conf IEEE Eng Med Biol Soc; 2012 Aug; 2012():4394-7. PubMed ID: 23366901
    [Abstract] [Full Text] [Related]

  • 16. A method to improve visual similarity of breast masses for an interactive computer-aided diagnosis environment.
    Zheng B, Lu A, Hardesty LA, Sumkin JH, Hakim CM, Ganott MA, Gur D.
    Med Phys; 2006 Jan; 33(1):111-7. PubMed ID: 16485416
    [Abstract] [Full Text] [Related]

  • 17. Evaluating the effect of image preprocessing on an information-theoretic CAD system in mammography.
    Tourassi GD, Ike R, Singh S, Harrawood B.
    Acad Radiol; 2008 May; 15(5):626-34. PubMed ID: 18423320
    [Abstract] [Full Text] [Related]

  • 18. 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
    [Abstract] [Full Text] [Related]

  • 19. Influence of using manual or automatic breast density information in a mass detection CAD system.
    Oliver A, Lladó X, Freixenet J, Martí R, Pérez E, Pont J, Zwiggelaar R.
    Acad Radiol; 2010 Jul; 17(7):877-83. PubMed ID: 20540910
    [Abstract] [Full Text] [Related]

  • 20. Evaluating computer-aided detection algorithms.
    Yoon HJ, Zheng B, Sahiner B, Chakraborty DP.
    Med Phys; 2007 Jun; 34(6):2024-38. PubMed ID: 17654906
    [Abstract] [Full Text] [Related]

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