Deep learning based classification of breast tumors with shear-wave elastography (Q39486205)

12 September 2017

Deep learning based classification of breast tumors with shear-wave elastography (English)

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12 September 2017

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Qi Zhang

1

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12 September 2017

Yang Xiao

2

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12 September 2017

Wei Dai

3

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12 September 2017

Jingfeng Suo

4

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12 September 2017

Congzhi Wang

5

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12 September 2017

Jun Shi

6

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12 September 2017

Hairong Zheng

7

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12 September 2017

6 August 2016

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12 September 2017

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12 September 2017

72

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12 September 2017

150-157

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WFUMB guidelines and recommendations for clinical use of ultrasound elastography: Part 2: breast

12 September 2017

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https://api.crossref.org/works/10.1016%2FJ.ULTRAS.2016.08.004

Quantitative Maximum Shear-Wave Stiffness of Breast Masses as a Predictor of Histopathologic Severity

7 January 2021

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https://api.crossref.org/works/10.1016%2FJ.ULTRAS.2016.08.004

Shear-wave elastography improves the specificity of breast US: the BE1 multinational study of 939 masses

7 January 2021

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https://api.crossref.org/works/10.1016%2FJ.ULTRAS.2016.08.004

ShearWave™ Elastography BE1 multinational breast study: additional SWE™ features support potential to downgrade BI-RADS®-3 lesions

7 January 2021

1 reference

https://api.crossref.org/works/10.1016%2FJ.ULTRAS.2016.08.004

Computer-aided diagnosis based on quantitative elastographic features with supersonic shear wave imaging.

7 January 2021

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https://api.crossref.org/works/10.1016%2FJ.ULTRAS.2016.08.004

Quantification of elastic heterogeneity using contourlet-based texture analysis in shear-wave elastography for breast tumor classification.

7 January 2021

1 reference

https://api.crossref.org/works/10.1016%2FJ.ULTRAS.2016.08.004

Relationship between elasticity and collagen fiber content in breast disease: a preliminary report

7 January 2021

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https://api.crossref.org/works/10.1016%2FJ.ULTRAS.2016.08.004

Quantitative ultrasound analysis for classification of BI-RADS category 3 breast masses

7 January 2021

1 reference

https://api.crossref.org/works/10.1016%2FJ.ULTRAS.2016.08.004

Computer-aided classification of breast masses using speckle features of automated breast ultrasound images

7 January 2021

1 reference

https://api.crossref.org/works/10.1016%2FJ.ULTRAS.2016.08.004

Computer-aided diagnosis for the classification of breast masses in automated whole breast ultrasound images

7 January 2021

1 reference

https://api.crossref.org/works/10.1016%2FJ.ULTRAS.2016.08.004

Quantitative analysis of breast echotexture patterns in automated breast ultrasound images

7 January 2021

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https://api.crossref.org/works/10.1016%2FJ.ULTRAS.2016.08.004

Robust phase-based texture descriptor for classification of breast ultrasound images

7 January 2021

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https://api.crossref.org/works/10.1016%2FJ.ULTRAS.2016.08.004

Computer-aided lesion diagnosis in automated 3-D breast ultrasound using coronal spiculation

7 January 2021

1 reference

https://api.crossref.org/works/10.1016%2FJ.ULTRAS.2016.08.004

Evaluation of the effect of computer-aided classification of benign and malignant lesions on reader performance in automated three-dimensional breast ultrasound.

7 January 2021

1 reference

https://api.crossref.org/works/10.1016%2FJ.ULTRAS.2016.08.004

7 January 2021

1 reference

https://api.crossref.org/works/10.1016%2FJ.ULTRAS.2016.08.004

Mastering the game of Go with deep neural networks and tree search

7 January 2021

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Where do features come from?

7 January 2021

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A fast learning algorithm for deep belief nets

7 January 2021

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Reducing the dimensionality of data with neural networks

7 January 2021

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Representation learning: a review and new perspectives

7 January 2021

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https://api.crossref.org/works/10.1016%2FJ.ULTRAS.2016.08.004

7 January 2021

1 reference

https://api.crossref.org/works/10.1016%2FJ.ULTRAS.2016.08.004

Ultrasound RF time series for classification of breast lesions.

7 January 2021

1 reference

https://api.crossref.org/works/10.1016%2FJ.ULTRAS.2016.08.004

Extreme learning machine: Theory and applications

7 January 2021

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https://api.crossref.org/works/10.1016%2FJ.ULTRAS.2016.08.004

Breast lesions: evaluation with shear wave elastography, with special emphasis on the "stiff rim" sign

7 January 2021

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https://api.crossref.org/works/10.1016%2FJ.ULTRAS.2016.08.004

Quantitative shear wave ultrasound elastography: initial experience in solid breast masses

7 January 2021

1 reference

https://api.crossref.org/works/10.1016%2FJ.ULTRAS.2016.08.004

Pattern classification of ShearWave™ Elastography images for differential diagnosis between benign and malignant solid breast masses.

7 January 2021

1 reference

https://api.crossref.org/works/10.1016%2FJ.ULTRAS.2016.08.004

Estimating sample sizes for binary, ordered categorical, and continuous outcomes in two group comparisons

7 January 2021

1 reference

https://api.crossref.org/works/10.1016%2FJ.ULTRAS.2016.08.004

Stiffness of tumours measured by shear-wave elastography correlated with subtypes of breast cancer

7 January 2021

1 reference

https://api.crossref.org/works/10.1016%2FJ.ULTRAS.2016.08.004

Two-dimensional shear-wave elastography and conventional US: the optimal evaluation of liver fibrosis and cirrhosis.

7 January 2021

1 reference

https://api.crossref.org/works/10.1016%2FJ.ULTRAS.2016.08.004

Transrectal quantitative shear wave elastography in the detection and characterisation of prostate cancer

7 January 2021

1 reference

https://api.crossref.org/works/10.1016%2FJ.ULTRAS.2016.08.004

Shear wave elastography of thyroid nodules for the prediction of malignancy in a large scale study.

7 January 2021

1 reference

https://api.crossref.org/works/10.1016%2FJ.ULTRAS.2016.08.004

Segmentation of ultrasound B-mode images with intensity inhomogeneity correction.

7 January 2021

1 reference

https://api.crossref.org/works/10.1016%2FJ.ULTRAS.2016.08.004

Breast-lesion Segmentation Combining B-Mode and Elastography Ultrasound.

7 January 2021

1 reference

https://api.crossref.org/works/10.1016%2FJ.ULTRAS.2016.08.004

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

7 January 2021

1 reference

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An integrated system for the segmentation of atherosclerotic carotid plaque ultrasound video

7 January 2021

1 reference

https://api.crossref.org/works/10.1016%2FJ.ULTRAS.2016.08.004

Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation.

7 January 2021

1 reference

https://api.crossref.org/works/10.1016%2FJ.ULTRAS.2016.08.004

10.1016/J.ULTRAS.2016.08.004

7 January 2021

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DOI

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12 September 2017

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