(Q48598353)

13 February 2018

title

Computerized characterization of masses on mammograms: the rubber band straightening transform and texture analysis. (English)

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13 February 2018

author

Heang-Ping Chan

2

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13 February 2018

author name string

B Sahiner

1

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13 February 2018

N Petrick

3

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13 February 2018

M A Helvie

4

1 reference

13 February 2018

M M Goodsitt

5

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13 February 2018

language of work or name

English

0 references

publication date

1 April 1998

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13 February 2018

number of pages

11

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based on heuristic

inferred from page(s)

published in

Medical Physics

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13 February 2018

volume

25

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13 February 2018

issue

4

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13 February 2018

page(s)

516-526

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13 February 2018

The positive predictive value of mammography

cites work

1 reference

Reading and decision aids for improved accuracy and standardization of mammographic diagnosis

21 January 2018

1 reference

Computer-aided mammographic screening for spiculated lesions.

21 January 2018

1 reference

Markov random field for tumor detection in digital mammography

21 January 2018

1 reference

Computerized detection of masses in digitized mammograms using single-image segmentation and a multilayer topographic feature analysis.

21 January 2018

1 reference

Computer-aided classification of mammographic masses and normal tissue: linear discriminant analysis in texture feature space.

21 January 2018

1 reference

Classification of mass and normal breast tissue on digital mammograms: multiresolution texture analysis.

21 January 2018

1 reference

An adaptive density-weighted contrast enhancement filter for mammographic breast mass detection.

21 January 2018

1 reference

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

21 January 2018

1 reference

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

21 January 2018

1 reference

An approach to automated detection of tumors in mammograms.

21 January 2018

1 reference

Classifying mammographic lesions using computerized image analysis.

21 January 2018

1 reference

Computerized characterization of mammographic masses: analysis of spiculation

21 January 2018

1 reference

Quantitative classification of breast tumors in digitized mammograms

21 January 2018

1 reference

Analysis of spiculation in the computerized classification of mammographic masses.

21 January 2018

1 reference

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

21 January 2018

1 reference

21 January 2018

Identifiers

DOI

10.1118/1.598228

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13 February 2018

PubMed ID

9571620

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13 February 2018