A Monte Carlo model for mean glandular dose evaluation in spot compression mammography.

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A Monte Carlo model for mean glandular dose evaluation in spot compression mammography.

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2017 nî lūn-bûn

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2017年の論文

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2017年学术文章

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A Monte Carlo model for mean glandular dose evaluation in spot compression mammography.

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A Monte Carlo model for mean glandular dose evaluation in spot compression mammography.

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A Monte Carlo model for mean glandular dose evaluation in spot compression mammography.

@en

A Monte Carlo model for mean glandular dose evaluation in spot compression mammography.

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A Monte Carlo model for mean glandular dose evaluation in spot compression mammography.

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A Monte Carlo model for mean glandular dose evaluation in spot compression mammography.

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P1476

A Monte Carlo model for mean glandular dose evaluation in spot compression mammography

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P2093

Antonio Sarno

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Baowei Fei

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David R Dance

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Francesca Di Lillo

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Giovanni Mettivier

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Ioannis Sechopoulos

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Kenneth C Young

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Ruben E van Engen

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P2860

Normalized glandular dose (DgN) coefficients for arbitrary X-ray spectra in mammography: computer-fit values of Monte Carlo derived data.

Monte Carlo reference data sets for imaging research: Executive summary of the report of AAPM Research Committee Task Group 195.

Dosimetric characterization of a dedicated breast computed tomography clinical prototype

Computation of the glandular radiation dose in digital tomosynthesis of the breast.

Breast dose in mammography is about 30% lower when realistic heterogeneous glandular distributions are considered

Characterization of the homogeneous tissue mixture approximation in breast imaging dosimetry.

Mean glandular dose coefficients (D(g)N) for x-ray spectra used in contemporary breast imaging systems.

Cupping artifact correction and automated classification for high-resolution dedicated breast CT images.

Tungsten anode spectral model using interpolating cubic splines: unfiltered x-ray spectra from 20 kV to 640 kV

GEANT4 for breast dosimetry: parameters optimization study.

P304

3848-3860

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P31

scholarly article

P356

10.1002/MP.12339

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P407

English

P433

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P478

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P50

Paolo Russo

Kristina Bliznakova

P577

2017-06-13T00:00:00Z

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P698

28500759

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P932

5534220

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