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PUBMED FOR HANDHELDS

Journal Abstract Search


115 related items for PubMed ID: 29091591

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  • 5. Computational simulation of breast compression based on segmented breast and fibroglandular tissues on magnetic resonance images.
    Shih TC, Chen JH, Liu D, Nie K, Sun L, Lin M, Chang D, Nalcioglu O, Su MY.
    Phys Med Biol; 2010 Jul 21; 55(14):4153-68. PubMed ID: 20601773
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  • 9. Automated Analysis of Unregistered Multi-View Mammograms With Deep Learning.
    Carneiro G, Nascimento J, Bradley AP.
    IEEE Trans Med Imaging; 2017 Nov 21; 36(11):2355-2365. PubMed ID: 28920897
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  • 12. Correlation between mammographic density and volumetric fibroglandular tissue estimated on breast MR images.
    Wei J, Chan HP, Helvie MA, Roubidoux MA, Sahiner B, Hadjiiski LM, Zhou C, Paquerault S, Chenevert T, Goodsitt MM.
    Med Phys; 2004 Apr 21; 31(4):933-42. PubMed ID: 15125012
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  • 15. An analysis of the mechanical parameters used for finite element compression of a high-resolution 3D breast phantom.
    Hsu CM, Palmeri ML, Segars WP, Veress AI, Dobbins JT.
    Med Phys; 2011 Oct 21; 38(10):5756-70. PubMed ID: 21992390
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  • 16. A novel approach to mammographic breast compression: Improved standardization and reduced discomfort by controlling pressure instead of force.
    de Groot JE, Broeders MJ, Branderhorst W, den Heeten GJ, Grimbergen CA.
    Med Phys; 2013 Aug 21; 40(8):081901. PubMed ID: 23927315
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  • 18. Segmentation and detection of breast cancer in mammograms combining wavelet analysis and genetic algorithm.
    Pereira DC, Ramos RP, do Nascimento MZ.
    Comput Methods Programs Biomed; 2014 Apr 21; 114(1):88-101. PubMed ID: 24513228
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