Self-organizing map for cluster analysis of a breast cancer database (Q40600311)

21 September 2017

title

Self-organizing map for cluster analysis of a breast cancer database (English)

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21 September 2017

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3

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21 September 2017

1

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Joseph Y. Lo

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2

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author name string

Carey E Floyd

series ordinal

4

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21 September 2017

publication date

1 February 2003

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Artificial Intelligence in Medicine

21 September 2017

published in

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21 September 2017

volume

27

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21 September 2017

issue

2

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21 September 2017

page(s)

113-127

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

21 September 2017

cites work

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Breast cancer diagnosis using self-organizing map for sonography

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

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Cross-Institutional Evaluation of BI-RADS Predictive Model for Mammographic Diagnosis of Breast Cancer

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Differences between computer-aided diagnosis of breast masses and that of calcifications

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Basic principles of ROC analysis

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ROC methodology in radiologic imaging

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Incorporation of a set enumeration trees-based classifier into a hybrid computer-assisted diagnosis scheme for mass detection

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A neural network approach to breast cancer diagnosis as a constraint satisfaction problem.

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Computer-aided detection and diagnosis of breast cancer

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Performance gain in computer-assisted detection schemes by averaging scores generated from artificial neural networks with adaptive filtering

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Adaptive computer-aided diagnosis scheme of digitized mammograms

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Mass detection in digitized mammograms using two independent computer-assisted diagnosis schemes

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Identifiers

DOI

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journals/artmed/MarkeyLTF03

21 September 2017

DBLP publication ID

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DBLP Dataset 2021-01-02

28 January 2021

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