(Q39850093)

15 September 2017

title

A model-based framework for the detection of spiculated masses on mammography (English)

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15 September 2017

Mia K Markey

4

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Alan Bovik

object named as

Alan C Bovik

series ordinal

2

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author name string

Mehul P Sampat

series ordinal

1

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15 September 2017

Gary J Whitman

series ordinal

3

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15 September 2017

language of work or name

English

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publication date

1 May 2008

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15 September 2017

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15 September 2017

volume

35

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15 September 2017

issue

5

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15 September 2017

page(s)

2110-2123

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The lifetime risk of developing breast cancer

15 September 2017

cites work

1 reference

Estimating lifetime and age-conditional probabilities of developing cancer.

21 January 2018

1 reference

The breast imaging reporting and data system: positive predictive value of mammographic features and final assessment categories.

21 January 2018

1 reference

Screening mammography: proven benefit, continued controversy

21 January 2018

1 reference

Performance of screening mammography among women with and without a first-degree relative with breast cancer

21 January 2018

1 reference

Computer-aided diagnosis in radiology: potential and pitfalls

21 January 2018

1 reference

Computer-aided detection and diagnosis of breast cancer

21 January 2018

1 reference

Potential contribution of computer-aided detection to the sensitivity of screening mammography

21 January 2018

1 reference

Breast cancer: importance of spiculation in computer-aided detection.

21 January 2018

1 reference

Changes in breast cancer detection and mammography recall rates after the introduction of a computer-aided detection system

21 January 2018

1 reference

CAD systems for mammography: a real opportunity? A review of the literature

21 January 2018

1 reference

Mammographic characteristics of 115 missed cancers later detected with screening mammography and the potential utility of computer-aided detection

21 January 2018

1 reference

Screening mammography-detected cancers: sensitivity of a computer-aided detection system applied to full-field digital mammograms

21 January 2018

1 reference

Computer-aided mammographic screening for spiculated lesions.

21 January 2018

1 reference

Model-based detection of spiculated lesions in mammograms.

21 January 2018

1 reference

The reliability of measuring physical characteristics of spiculated masses on mammography

21 January 2018

1 reference

Comparison of algorithms to enhance spicules of spiculated masses on mammography

21 January 2018

1 reference

Use of prior mammograms in the classification of benign and malignant masses.

21 January 2018

1 reference

Simulation of mammographic lesions.

21 January 2018

1 reference

Linear structures in mammographic images: detection and classification.

21 January 2018

1 reference

Optimal Gabor filters for texture segmentation.

21 January 2018

1 reference

Unsupervised texture segmentation of images using tuned matched Gabor filters.

21 January 2018

1 reference

Automated detection of breast carcinomas not detected in a screening program.

21 January 2018

1 reference

Incorporation of an iterative, linear segmentation routine into a mammographic mass CAD system

21 January 2018

1 reference

Characterization of difference of Gaussian filters in the detection of mammographic regions

21 January 2018

1 reference

An automatic method to discriminate malignant masses from normal tissue in digital mammograms

21 January 2018

1 reference

Analysis of cancers missed at screening mammography

21 January 2018

1 reference

Computer-Aided Diagnosis in Radiology

21 January 2018

1 reference

Guest editorial computer-aided diagnosis in medical imaging

21 January 2018

1 reference

21 January 2018

Identifiers

DOI

10.1118/1.2890080

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15 September 2017

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