(Q38520369)

3 September 2017

title

Improvement in breast tumor discrimination by support vector machines and speckle-emphasis texture analysis (English)

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3 September 2017

main subject

support vector machine

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3

Woo Kyung Moon

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3 September 2017

1

Ruey-Feng Chang

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3 September 2017

4

Dar-Ren Chen

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3 September 2017

Wen-Jie Wu

2

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3 September 2017

publication date

1 May 2003

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3 September 2017

number of pages

8

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Ultrasound in Medicine and Biology

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published in

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3 September 2017

volume

29

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3 September 2017

issue

5

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3 September 2017

page(s)

679-686

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describes a project that uses

3 September 2017

support vector machine

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The prevalence of carcinoma in palpable vs impalpable, mammographically detected lesions

inferred from title

cites work

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https://api.crossref.org/works/10.1016%2FS0301-5629%2802%2900788-3

7 January 2021

Support vector machines for histogram-based image classification.

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https://api.crossref.org/works/10.1016%2FS0301-5629%2802%2900788-3

7 January 2021

Breast cancer diagnosis using self-organizing map for sonography.

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https://api.crossref.org/works/10.1016%2FS0301-5629%2802%2900788-3

7 January 2021

Use of the bootstrap technique with small training sets for computer-aided diagnosis in breast ultrasound

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https://api.crossref.org/works/10.1016%2FS0301-5629%2802%2900788-3

7 January 2021

Adaptive speckle reduction filter for log-compressed B-scan images

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https://api.crossref.org/works/10.1016%2FS0301-5629%2802%2900788-3

7 January 2021

Improving the distinction between benign and malignant breast lesions: the value of sonographic texture analysis.

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https://api.crossref.org/works/10.1016%2FS0301-5629%2802%2900788-3

7 January 2021

Prebiopsy localization of nonpalpable breast lesions

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https://api.crossref.org/works/10.1016%2FS0301-5629%2802%2900788-3

7 January 2021

Improvement in specificity of ultrasonography for diagnosis of breast tumors by means of artificial intelligence

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https://api.crossref.org/works/10.1016%2FS0301-5629%2802%2900788-3

7 January 2021

Computerized analysis of digitized mammograms of BRCA1 and BRCA2 gene mutation carriers.

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https://api.crossref.org/works/10.1016%2FS0301-5629%2802%2900788-3

7 January 2021

Automated detection of breast masses on mammograms using adaptive contrast enhancement and texture classification.

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https://api.crossref.org/works/10.1016%2FS0301-5629%2802%2900788-3

7 January 2021

Use of fine needle aspiration for solid breast lesions is accurate and cost-effective.

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https://api.crossref.org/works/10.1016%2FS0301-5629%2802%2900788-3

7 January 2021

Optimum scan spacing for three-dimensional ultrasound by speckle statistics.

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https://api.crossref.org/works/10.1016%2FS0301-5629%2802%2900788-3

7 January 2021

Disparity mapping applied to sonography of the breast: technical note.

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https://api.crossref.org/works/10.1016%2FS0301-5629%2802%2900788-3

7 January 2021

Automated three-dimensional US frame positioning computed from elevational speckle decorrelation.

1 reference

https://api.crossref.org/works/10.1016%2FS0301-5629%2802%2900788-3

7 January 2021

Characterization of echographic image texture by cooccurrence matrix parameters

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https://api.crossref.org/works/10.1016%2FS0301-5629%2802%2900788-3

7 January 2021

Current status and future technical advances of ultrasonic imaging

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https://api.crossref.org/works/10.1016%2FS0301-5629%2802%2900788-3

7 January 2021

10.1016/S0301-5629(02)00788-3

Identifiers

DOI

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3 September 2017

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