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PUBMED FOR HANDHELDS

Journal Abstract Search


166 related items for PubMed ID: 7652012

  • 61.
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  • 63. Computer-aided diagnosis of mammographic masses using scalable image retrieval.
    Jiang M, Zhang S, Li H, Metaxas DN.
    IEEE Trans Biomed Eng; 2015 Feb; 62(2):783-92. PubMed ID: 25361497
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  • 64.
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  • 65. Computerized analysis of mammographic parenchymal patterns for breast cancer risk assessment: feature selection.
    Huo Z, Giger ML, Wolverton DE, Zhong W, Cumming S, Olopade OI.
    Med Phys; 2000 Jan; 27(1):4-12. PubMed ID: 10659732
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  • 70. Digitization requirements in mammography: effects on computer-aided detection of microcalcifications.
    Chan HP, Niklason LT, Ikeda DM, Lam KL, Adler DD.
    Med Phys; 1994 Jul; 21(7):1203-11. PubMed ID: 7968855
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  • 71.
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  • 72. Computerized texture analysis of mammographic parenchymal patterns of digitized mammograms.
    Li H, Giger ML, Olopade OI, Margolis A, Lan L, Chinander MR.
    Acad Radiol; 2005 Jul; 12(7):863-73. PubMed ID: 16039540
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  • 73.
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  • 74. Characterization of mammographic masses using a gradient-based segmentation algorithm and a neural classifier.
    Delogu P, Evelina Fantacci M, Kasae P, Retico A.
    Comput Biol Med; 2007 Oct; 37(10):1479-91. PubMed ID: 17383623
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  • 75. Computer-aided mass detection in mammography: false positive reduction via gray-scale invariant ranklet texture features.
    Masotti M, Lanconelli N, Campanini R.
    Med Phys; 2009 Feb; 36(2):311-6. PubMed ID: 19291970
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  • 76.
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  • 77. Computer-aided diagnosis scheme for identifying histological classification of clustered microcalcifications by use of follow-up magnification mammograms.
    Nakayama R, Watanabe R, Namba K, Takeda K, Yamamoto K, Katsuragawa S, Doi K.
    Acad Radiol; 2006 Oct; 13(10):1219-28. PubMed ID: 16979071
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  • 78.
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  • 79. Computerized detection of masses in digital mammograms: investigation of feature-analysis techniques.
    Yin FF, Giger ML, Doi K, Vyborny CJ, Schmidt RA.
    J Digit Imaging; 1994 Feb; 7(1):18-26. PubMed ID: 8172975
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  • 80. Linear and neural models for classifying breast masses.
    Fogel DB, Wasson EC, Boughton EM, Porto VW, Angeline PJ.
    IEEE Trans Med Imaging; 1998 Jun; 17(3):485-8. PubMed ID: 9735913
    [Abstract] [Full Text] [Related]


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