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Journal Abstract Search

156 related items for PubMed ID: 8946366

  • 21. Computer-aided classification of mammographic masses and normal tissue: linear discriminant analysis in texture feature space.
    Chan HP, Wei D, Helvie MA, Sahiner B, Adler DD, Goodsitt MM, Petrick N.
    Phys Med Biol; 1995 May; 40(5):857-76. PubMed ID: 7652012
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  • 23. Assessment of a novel mass detection algorithm in mammograms.
    Kozegar E, Soryani M, Minaei B, Domingues I.
    J Cancer Res Ther; 2013 May; 9(4):592-600. PubMed ID: 24518702
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  • 24. 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
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  • 26. Computer-aided diagnosis in mammography: classification of mass and normal tissue by texture analysis.
    Petrosian A, Chan HP, Helvie MA, Goodsitt MM, Adler DD.
    Phys Med Biol; 1994 Dec; 39(12):2273-88. PubMed ID: 15551553
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  • 27. 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
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  • 29. Classification of breast regions as mass and non-mass based on digital mammograms using taxonomic indexes and SVM.
    Soares Sérvulo de Oliveira F, Oseas de Carvalho Filho A, Corrêa Silva A, Cardoso de Paiva A, Gattass M.
    Comput Biol Med; 2015 Feb; 57():42-53. PubMed ID: 25528696
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  • 31. Development of an automated method for detecting mammographic masses with a partial loss of region.
    Hatanaka Y, Hara T, Fujita H, Kasai S, Endo T, Iwase T.
    IEEE Trans Med Imaging; 2001 Dec; 20(12):1209-14. PubMed ID: 11811821
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  • 35. A ranklet-based image representation for mass classification in digital mammograms.
    Masotti M.
    Med Phys; 2006 Oct; 33(10):3951-61. PubMed ID: 17089857
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  • 36. Mammographic masses characterization based on localized texture and dataset fractal analysis using linear, neural and support vector machine classifiers.
    Mavroforakis ME, Georgiou HV, Dimitropoulos N, Cavouras D, Theodoridis S.
    Artif Intell Med; 2006 Jun; 37(2):145-62. PubMed ID: 16716579
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  • 38. Development of tolerant features for characterization of masses in mammograms.
    Rojas-Domínguez A, Nandi AK.
    Comput Biol Med; 2009 Aug; 39(8):678-88. PubMed ID: 19524221
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  • 39. Computer-aided detection of architectural distortion in prior mammograms of interval cancer.
    Rangayyan RM, Banik S, Desautels JE.
    J Digit Imaging; 2010 Oct; 23(5):611-31. PubMed ID: 20127270
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  • 40. Computerized image analysis: estimation of breast density on mammograms.
    Zhou C, Chan HP, Petrick N, Helvie MA, Goodsitt MM, Sahiner B, Hadjiiski LM.
    Med Phys; 2001 Jun; 28(6):1056-69. PubMed ID: 11439475
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