Effect of patient history data on the prediction of breast cancer from mammographic findings with artificial neural networks (Q31932842)

5 July 2017

title

Effect of patient history data on the prediction of breast cancer from mammographic findings with artificial neural networks (English)

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artificial neural network

5 July 2017

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author

Joseph Y. Lo

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ORCID Public Data File 2021

author name string

Lo JY

1

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5 July 2017

Baker JA

2

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Kornguth PJ

3

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5 July 2017

Floyd CE Jr

4

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5 July 2017

publication date

1 January 1999

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5 July 2017

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5 July 2017

volume

6

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5 July 2017

issue

1

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5 July 2017

page(s)

10-15

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describes a project that uses

5 July 2017

artificial neural network

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The positive predictive value of mammography

inferred from title

cites work

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Periodic mammographic follow-up of probably benign lesions: results in 3,184 consecutive cases

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An improved computer-assisted diagnostic scheme using wavelet transform for detecting clustered microcalcifications in digital mammograms

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Tree structured wavelet transform segmentation of microcalcifications in digital mammography

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Using tissue texture surrounding calcification clusters to predict benign vs malignant outcomes

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Construction of a Bayesian network for mammographic diagnosis of breast cancer.

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Image feature selection by a genetic algorithm: application to classification of mass and normal breast tissue.

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Extracting rules from pruned networks for breast cancer diagnosis.

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Breast cancer: prediction with artificial neural network based on BI-RADS standardized lexicon

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Computer-aided diagnosis of breast cancer: artificial neural network approach for optimized merging of mammographic features

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7 January 2021

Mammographic feature analysis

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Identifiers

DOI

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5 July 2017

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