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Journal Abstract Search

170 related items for PubMed ID: 8735257

  • 1.
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  • 2. Symmetry of projection in the quantitative analysis of mammographic images.
    Byng JW, Boyd NF, Little L, Lockwood G, Fishell E, Jong RA, Yaffe MJ.
    Eur J Cancer Prev; 1996 Oct; 5(5):319-27. PubMed ID: 8972250
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  • 4. The quantitative analysis of mammographic densities.
    Byng JW, Boyd NF, Fishell E, Jong RA, Yaffe MJ.
    Phys Med Biol; 1994 Oct; 39(10):1629-38. PubMed ID: 15551535
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  • 5. Fractal analysis of visual search activity for mass detection during mammographic screening.
    Alamudun F, Yoon HJ, Hudson KB, Morin-Ducote G, Hammond T, Tourassi GD.
    Med Phys; 2017 Mar; 44(3):832-846. PubMed ID: 28079249
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  • 6. Fractal analysis of mammographic parenchymal patterns in breast cancer risk assessment.
    Li H, Giger ML, Olopade OI, Lan L.
    Acad Radiol; 2007 May; 14(5):513-21. PubMed ID: 17434064
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  • 8. Characterization and classification of tumor lesions using computerized fractal-based texture analysis and support vector machines in digital mammograms.
    Guo Q, Shao J, Ruiz VF.
    Int J Comput Assist Radiol Surg; 2009 Jan; 4(1):11-25. PubMed ID: 20033598
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  • 9. 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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  • 13. 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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  • 14. Using tissue texture surrounding calcification clusters to predict benign vs malignant outcomes.
    Thiele DL, Kimme-Smith C, Johnson TD, McCombs M, Bassett LW.
    Med Phys; 1996 Apr; 23(4):549-55. PubMed ID: 9157269
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  • 15. Parenchymal texture analysis in digital mammography: A fully automated pipeline for breast cancer risk assessment.
    Zheng Y, Keller BM, Ray S, Wang Y, Conant EF, Gee JC, Kontos D.
    Med Phys; 2015 Jul; 42(7):4149-60. PubMed ID: 26133615
    [Abstract] [Full Text] [Related]

  • 16. How mammographic breast density affects radiologists' visual search patterns.
    Al Mousa DS, Brennan PC, Ryan EA, Lee WB, Tan J, Mello-Thoms C.
    Acad Radiol; 2014 Nov; 21(11):1386-93. PubMed ID: 25172414
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  • 17. Quantitative classification of mammographic densities and breast cancer risk: results from the Canadian National Breast Screening Study.
    Boyd NF, Byng JW, Jong RA, Fishell EK, Little LE, Miller AB, Lockwood GA, Tritchler DL, Yaffe MJ.
    J Natl Cancer Inst; 1995 May 03; 87(9):670-5. PubMed ID: 7752271
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  • 18. Mammographic density and cancer detection: does digital imaging challenge our current understanding?
    Al Mousa DS, Mello-Thoms C, Ryan EA, Lee WB, Pietrzyk MW, Reed WM, Heard R, Poulos A, Tan J, Li Y, Brennan PC.
    Acad Radiol; 2014 Nov 03; 21(11):1377-85. PubMed ID: 25097013
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  • 19. 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 03; 37(2):145-62. PubMed ID: 16716579
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  • 20. Screen-film mammographic density and breast cancer risk: a comparison of the volumetric standard mammogram form and the interactive threshold measurement methods.
    Aitken Z, McCormack VA, Highnam RP, Martin L, Gunasekara A, Melnichouk O, Mawdsley G, Peressotti C, Yaffe M, Boyd NF, dos Santos Silva I.
    Cancer Epidemiol Biomarkers Prev; 2010 Feb 03; 19(2):418-28. PubMed ID: 20142240
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