(Q52076669)

21 April 2018

title

Pulmonary CT image classification with evolutionary programming. (English)

1 reference

21 April 2018

1 reference

Madsen MT

1

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21 April 2018

Uppaluri R

series ordinal

2

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21 April 2018

Hoffman EA

series ordinal

3

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21 April 2018

McLennan G

series ordinal

4

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21 April 2018

publication date

1 December 1999

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21 April 2018

published in

Academic Radiology

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21 April 2018

volume

6

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21 April 2018

issue

12

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21 April 2018

page(s)

736-741

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21 April 2018

Quantitative chest computed tomography as a means of predicting exercise performance in severe emphysema

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Automated discrimination and quantification of idiopathic pulmonary fibrosis from normal lung parenchyma using generalized fractal dimensions in high-resolution computed tomography images

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Quantification of pulmonary emphysema from lung computed tomography images

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Interstitial lung disease: A quantitative study using the adaptive multiple feature method

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Computed tomography in pulmonary emphysema

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7 January 2021

CT Measurements of Lung Density in Life Can Quantitate Distal Airspace Enlargement—An Essential Defining Feature of Human Emphysema

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7 January 2021

"Density mask". An objective method to quantitate emphysema using computed tomography

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7 January 2021

Evolving artificial neural networks for screening features from mammograms

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7 January 2021

Evolving neural networks for detecting breast cancer.

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7 January 2021

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

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Design of a high-sensitivity classifier based on a genetic algorithm: application to computer-aided diagnosis.

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7 January 2021

10.1016/S1076-6332(99)80470-X

Identifiers

DOI

1 reference

21 April 2018

PubMed ID

10887895

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21 April 2018