(Q51289103)

2 April 2018

title

Assessing the combined performance of texture and morphological parameters in distinguishing breast tumors in ultrasound images. (English)

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2 April 2018

author name string

Andre Victor Alvarenga

1

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2 April 2018

Antonio Fernando C Infantosi

2

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2 April 2018

Wagner C A Pereira

3

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2 April 2018

Carolina M Azevedo

4

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2 April 2018

language of work or name

English

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publication date

1 December 2012

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2 April 2018

number of pages

9

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based on heuristic

inferred from page(s)

published in

Medical Physics

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2 April 2018

volume

39

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2 April 2018

issue

12

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2 April 2018

page(s)

7350-7358

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2 April 2018

Accuracy of combined breast imaging in young women.

cites work

1 reference

Sensitivity, specificity and predictive values of breast imaging in the detection of cancer

21 January 2018

1 reference

Stepwise logistic regression analysis of tumor contour features for breast ultrasound diagnosis.

21 January 2018

1 reference

Computerized analysis of lesions in US images of the breast.

21 January 2018

1 reference

Computerized scheme for assessing ultrasonographic features of breast masses.

21 January 2018

1 reference

Breast lesions on sonograms: computer-aided diagnosis with nearly setting-independent features and artificial neural networks.

21 January 2018

1 reference

Computerized lesion detection on breast ultrasound.

21 January 2018

1 reference

Automatic ultrasound segmentation and morphology based diagnosis of solid breast tumors.

21 January 2018

1 reference

Classifying mammographic lesions using computerized image analysis.

21 January 2018

1 reference

Ultrasound breast tumor image computer-aided diagnosis with texture and morphological features

21 January 2018

1 reference

Fractal analysis of contours of breast masses in mammograms

21 January 2018

1 reference

Feature extraction from a signature based on the turning angle function for the classification of breast tumors

21 January 2018

1 reference

Diagnosis of breast tumors with sonographic texture analysis using wavelet transform and neural networks.

21 January 2018

1 reference

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

21 January 2018

1 reference

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

21 January 2018

1 reference

Computerized ultrasound B-scan characterization of breast nodules.

21 January 2018

1 reference

Retrieval technique for the diagnosis of solid breast tumors on sonogram.

21 January 2018

1 reference

Breast cancer diagnosis using self-organizing map for sonography.

21 January 2018

1 reference

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

21 January 2018

1 reference

Complexity curve and grey level co-occurrence matrix in the texture evaluation of breast tumor on ultrasound images.

21 January 2018

1 reference

Assessing the performance of morphological parameters in distinguishing breast tumors on ultrasound images.

21 January 2018

1 reference

Computer-aided diagnosis using morphological features for classifying breast lesions on ultrasound

21 January 2018

1 reference

Breast ultrasound computer-aided diagnosis using BI-RADS features

21 January 2018

1 reference

A new automated method for the segmentation and characterization of breast masses on ultrasound images

21 January 2018

1 reference

Receiver operating characteristic (ROC) curve: practical review for radiologists

21 January 2018

1 reference

Benign breast lesions: Ultrasound.

21 January 2018

1 reference

Computerized diagnosis of breast lesions on ultrasound

21 January 2018

1 reference

21 January 2018

Identifiers

DOI

10.1118/1.4766268

1 reference

2 April 2018

PubMed ID

23231284

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2 April 2018