Applying a new bilateral mammographic density segmentation method to improve accuracy of breast cancer risk prediction.

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Applying a new bilateral mammographic density segmentation method to improve accuracy of breast cancer risk prediction.

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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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2017年学术文章

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2017年学术文章

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2017年学术文章

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2017年学术文章

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2017年學術文章

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Applying a new bilateral mammo ...... breast cancer risk prediction.

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Applying a new bilateral mammo ...... breast cancer risk prediction.

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Applying a new bilateral mammo ...... breast cancer risk prediction.

@en

Applying a new bilateral mammo ...... breast cancer risk prediction.

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Applying a new bilateral mammo ...... breast cancer risk prediction.

@en

Applying a new bilateral mammo ...... breast cancer risk prediction.

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P1476

Applying a new bilateral mammo ...... breast cancer risk prediction.

@en

P2093

Bin Zheng

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Faranak Aghaei

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Shiju Yan

http://www.w3.org/2001/XMLSchema#string

Yuchen Qiu

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Yunzhi Wang

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P2860

Predicting survival from microarray data--a comparative study.

A protocol for building and evaluating predictors of disease state based on microarray data.

Reduction of false-positive recalls using a computerized mammographic image feature analysis scheme

Association between computed tissue density asymmetry in bilateral mammograms and near-term breast cancer risk

Relationships between computer-extracted mammographic texture pattern features and BRCA1/2 mutation status: a cross-sectional study

Influence of annual interpretive volume on screening mammography performance in the United States

Computerized assessment of tissue composition on digitized mammograms.

Computer-aided detection of breast masses depicted on full-field digital mammograms: a performance assessment.

Computerized prediction of risk for developing breast cancer based on bilateral mammographic breast tissue asymmetry.

Cumulative probability of false-positive recall or biopsy recommendation after 10 years of screening mammography: a cohort study

P2888

s11548-017-1648-8

P304

1819-1828

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scholarly article

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10.1007/S11548-017-1648-8

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P478

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2017-07-19T00:00:00Z

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28726117

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5711603

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