(Q52061415)

20 April 2018

title

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

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20 April 2018

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1

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20 April 2018

Mia K Markey

series ordinal

2

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20 April 2018

Joseph Y. Lo

series ordinal

3

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20 April 2018

author name string

C E Floyd

series ordinal

4

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20 April 2018

language of work or name

English

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publication date

1 May 2001

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20 April 2018

number of pages

8

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based on heuristic

inferred from page(s)

published in

Medical Physics

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20 April 2018

volume

28

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20 April 2018

issue

5

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20 April 2018

page(s)

804-811

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20 April 2018

Artificial neural networks in mammography: application to decision making in the diagnosis of breast cancer.

cites work

1 reference

Computer-aided detection of mammographic microcalcifications: pattern recognition with an artificial neural network

21 January 2018

1 reference

Malignant and benign clustered microcalcifications: automated feature analysis and classification.

21 January 2018

1 reference

Artificial neural network: improving the quality of breast biopsy recommendations.

21 January 2018

1 reference

Predicting breast cancer invasion with artificial neural networks on the basis of mammographic features.

21 January 2018

1 reference

Classification of malignant and benign masses based on hybrid ART2LDA approach.

21 January 2018

1 reference

Improving breast cancer diagnosis with computer-aided diagnosis.

21 January 2018

1 reference

Selected techniques for data mining in medicine

21 January 2018

1 reference

Extracting rules from pruned networks for breast cancer diagnosis.

21 January 2018

1 reference

Rule-extraction by backpropagation of polyhedra.

21 January 2018

1 reference

Case-based reasoning computer algorithm that uses mammographic findings for breast biopsy decisions.

21 January 2018

1 reference

Artificial neural networks for drug vulnerability recognition and dynamic scenarios simulation.

21 January 2018

1 reference

Use of a constraint satisfaction network model for the evaluation of the methadone treatments of drug addicts.

21 January 2018

1 reference

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

21 January 2018

1 reference

Improvement of radiologists' characterization of mammographic masses by using computer-aided diagnosis: an ROC study

21 January 2018

1 reference

21 January 2018

Identifiers

DOI

10.1118/1.1367861

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20 April 2018

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20 April 2018