Machine learning for medical ultrasound: status, methods, and future opportunities
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Title
Machine learning for medical ultrasound: status, methods, and future opportunities
Authors
Keywords
Deep learning, Elastography, Machine learning, Medical ultrasound, Sonography
Journal
Abdominal Radiology
Volume 43, Issue 4, Pages 786-799
Publisher
Springer Nature
Online
2018-02-28
DOI
10.1007/s00261-018-1517-0
References
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Note: Only part of the references are listed.- A direct comparison of contrast-enhanced ultrasound and dynamic contrast-enhanced magnetic resonance imaging for prostate cancer detection and prediction of aggressiveness
- (2017) Alexander D. J. Baur et al. EUROPEAN RADIOLOGY
- A fused deep learning architecture for viewpoint classification of echocardiography
- (2017) Xiaohong Gao et al. Information Fusion
- Automatic apical view classification of echocardiograms using a discriminative learning dictionary
- (2017) Hanan Khamis et al. MEDICAL IMAGE ANALYSIS
- A survey on deep learning in medical image analysis
- (2017) Geert Litjens et al. MEDICAL IMAGE ANALYSIS
- A deep feature fusion methodology for breast cancer diagnosis demonstrated on three imaging modality datasets
- (2017) Natalia Antropova et al. MEDICAL PHYSICS
- Shear-Wave Elastography: Basic Physics and Musculoskeletal Applications
- (2017) Mihra S. Taljanovic et al. RADIOGRAPHICS
- A Computer-Aided Diagnosis System Using Artificial Intelligence for the Diagnosis and Characterization of Thyroid Nodules on Ultrasound: Initial Clinical Assessment
- (2017) Young Jun Choi et al. THYROID
- A Machine-Learning Algorithm Toward Color Analysis for Chronic Liver Disease Classification, Employing Ultrasound Shear Wave Elastography
- (2017) Ilias Gatos et al. ULTRASOUND IN MEDICINE AND BIOLOGY
- Shear-Wave Elastography: Could it be Helpful for the Diagnosis of Non-Mass-Like Breast Lesions?
- (2017) Zhi Li Wang et al. ULTRASOUND IN MEDICINE AND BIOLOGY
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- (2017) Min Wang et al. ULTRASOUND IN MEDICINE AND BIOLOGY
- Ultrasound Elastography: Review of Techniques and Clinical Applications
- (2017) Rosa M.S. Sigrist et al. Theranostics
- A Convolutional Neural Network for Automatic Characterization of Plaque Composition in Carotid Ultrasound
- (2017) Karim Lekadir et al. IEEE Journal of Biomedical and Health Informatics
- Deep Learning for Health Informatics
- (2017) Daniele Ravi et al. IEEE Journal of Biomedical and Health Informatics
- Accuracy of shear wave elastography for the diagnosis of prostate cancer: A meta-analysis
- (2017) Liang Sang et al. Scientific Reports
- Reliability of Shear-Wave Elastography Estimates of the Young Modulus of Tissue in Follicular Thyroid Neoplasms
- (2016) Arash Anvari et al. AMERICAN JOURNAL OF ROENTGENOLOGY
- Do quantitative and qualitative shear wave elastography have a role in evaluating musculoskeletal soft tissue masses?
- (2016) B. Pass et al. EUROPEAN RADIOLOGY
- Stiffness of benign and malignant prostate tissue measured by shear-wave elastography: a preliminary study
- (2016) Olivier Rouvière et al. EUROPEAN RADIOLOGY
- Fuzzy cluster based neural network classifier for classifying breast tumors in ultrasound images
- (2016) Bikesh Kumar Singh et al. EXPERT SYSTEMS WITH APPLICATIONS
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- (2016) Anil Chauhan et al. JOURNAL OF CLINICAL ULTRASOUND
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- (2016) Phillip M. Cheng et al. JOURNAL OF DIGITAL IMAGING
- Interpretable classification models for recidivism prediction
- (2016) Jiaming Zeng et al. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY
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- (2016) Anna R. Sjogren et al. JOURNAL OF ULTRASOUND IN MEDICINE
- Stacked deep polynomial network based representation learning for tumor classification with small ultrasound image dataset
- (2016) Jun Shi et al. NEUROCOMPUTING
- Deep learning based classification of breast tumors with shear-wave elastography
- (2016) Qi Zhang et al. ULTRASONICS
- Feasibility Study of Texture Analysis Using Ultrasound Shear Wave Elastography to Predict Malignancy in Thyroid Nodules
- (2016) Kunwar Suryaveer Singh Bhatia et al. ULTRASOUND IN MEDICINE AND BIOLOGY
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- (2016) Verónica Aramendía-Vidaurreta et al. ULTRASOUND IN MEDICINE AND BIOLOGY
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- (2016) Juan Shan et al. ULTRASOUND IN MEDICINE AND BIOLOGY
- Breast Lesions: Quantitative Diagnosis Using Ultrasound Shear Wave Elastography—A Systematic Review and Meta-Analysis
- (2016) Baoxian Liu et al. ULTRASOUND IN MEDICINE AND BIOLOGY
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- (2015) Mirko D'Onofrio et al. AMERICAN JOURNAL OF ROENTGENOLOGY
- Shear wave elastography of passive skeletal muscle stiffness: Influences of sex and age throughout adulthood
- (2015) Sarah F. Eby et al. CLINICAL BIOMECHANICS
- Shear wave elastography of thyroid nodules for the prediction of malignancy in a large scale study
- (2015) Ah Young Park et al. EUROPEAN JOURNAL OF RADIOLOGY
- Contrast-enhanced ultrasound in the diagnosis of solitary thyroid nodules
- (2015) Jiang Quan et al. Journal of Cancer Research and Therapeutics
- An Artificial Immune System-Based Support Vector Machine Approach for Classifying Ultrasound Breast Tumor Images
- (2015) Wen-Jie Wu et al. JOURNAL OF DIGITAL IMAGING
- Learning-based prediction of gestational age from ultrasound images of the fetal brain
- (2015) Ana I.L. Namburete et al. MEDICAL IMAGE ANALYSIS
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Deep learning in neural networks: An overview
- (2015) Jürgen Schmidhuber NEURAL NETWORKS
- Fully automatic segmentation of ultrasound common carotid artery images based on machine learning
- (2015) Rosa-María Menchón-Lara et al. NEUROCOMPUTING
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- (2015) Sébastien Aubry et al. RADIOLOGY
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- (2015) Anthony E. Samir et al. RADIOLOGY
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- (2015) Laith R. Sultan et al. ULTRASOUND IN MEDICINE AND BIOLOGY
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- (2015) Qi Zhang et al. ULTRASOUND IN MEDICINE AND BIOLOGY
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- (2014) Christophe Cassinotto et al. JOURNAL OF HEPATOLOGY
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- (2014) Giovanna Ferraioli et al. JOURNAL OF ULTRASOUND IN MEDICINE
- Brachial artery vasomotion and transducer pressure effect on measurements by active contour segmentation on ultrasound
- (2014) Theodore W. Cary et al. MEDICAL PHYSICS
- Deep learning based classification of focal liver lesions with contrast-enhanced ultrasound
- (2014) Kaizhi Wu et al. OPTIK
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- (2014) Zhi Jie Zhang et al. PLoS One
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- (2014) Tae Kyoung Kim WORLD JOURNAL OF GASTROENTEROLOGY
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- (2014) Tim König et al. International Journal of Computer Assisted Radiology and Surgery
- Breast Image Analysis for Risk Assessment, Detection, Diagnosis, and Treatment of Cancer
- (2013) Maryellen L. Giger et al. Annual Review of Biomedical Engineering
- An efficient neural network based method for medical image segmentation
- (2013) Nima Torbati et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Liver fibrosis evaluation using real-time shear wave elastography: Applicability and diagnostic performance using methods without a gold standard
- (2013) Thierry Poynard et al. JOURNAL OF HEPATOLOGY
- Automated B-Line Scoring on Thoracic Sonography
- (2013) Laura J. Brattain et al. JOURNAL OF ULTRASOUND IN MEDICINE
- A supervised learning framework of statistical shape and probability priors for automatic prostate segmentation in ultrasound images
- (2013) Soumya Ghose et al. MEDICAL IMAGE ANALYSIS
- Joint learning of ultrasonic backscattering statistical physics and signal confidence primal for characterizing atherosclerotic plaques using intravascular ultrasound
- (2013) Debdoot Sheet et al. MEDICAL IMAGE ANALYSIS
- Computer-Aided Diagnosis Based on Quantitative Elastographic Features with Supersonic Shear Wave Imaging
- (2013) Yang Xiao et al. ULTRASOUND IN MEDICINE AND BIOLOGY
- Parameters affecting the resolution and accuracy of 2-D quantitative shear wave images
- (2012) Ned Rouze et al. IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
- Machine learning and radiology
- (2012) Shijun Wang et al. MEDICAL IMAGE ANALYSIS
- Machine learning algorithms to classify spinal muscular atrophy subtypes
- (2012) T. Srivastava et al. NEUROLOGY
- Completely Automated Segmentation Approach for Breast Ultrasound Images Using Multiple-Domain Features
- (2012) Juan Shan et al. ULTRASOUND IN MEDICINE AND BIOLOGY
- Real-time elastography with a novel quantitative technology for assessment of liver fibrosis in chronic hepatitis B
- (2011) Juan Wang et al. EUROPEAN JOURNAL OF RADIOLOGY
- An improved quantitative measurement for thyroid cancer detection based on elastography
- (2011) Jianrui Ding et al. EUROPEAN JOURNAL OF RADIOLOGY
- The Segmentation of the Left Ventricle of the Heart From Ultrasound Data Using Deep Learning Architectures and Derivative-Based Search Methods
- (2011) G. Carneiro et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Exploring nonlinear feature space dimension reduction and data representation in breast CADx with Laplacian eigenmaps and t-SNE
- (2009) Andrew R. Jamieson et al. MEDICAL PHYSICS
- Convolutional Networks Can Learn to Generate Affinity Graphs for Image Segmentation
- (2009) Srinivas C. Turaga et al. NEURAL COMPUTATION
- Ultrasound image segmentation and tissue characterization
- (2009) J A Noble PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART H-JOURNAL OF ENGINEERING IN MEDICINE
- Contrast-enhanced Ultrasound for the Characterization of Focal Liver Lesions – Diagnostic Accuracy in Clinical Practice (DEGUM multicenter trial)
- (2009) D Strobel et al. ULTRASCHALL IN DER MEDIZIN
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