AIMC Topic: Ultrasonography

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Joint Weakly and Semi-Supervised Deep Learning for Localization and Classification of Masses in Breast Ultrasound Images.

IEEE transactions on medical imaging Sep 24, 2018
We propose a framework for localization and classification of masses in breast ultrasound images. We have experimentally found that training convolutional neural network-based mass detectors with large, weakly annotated datasets presents a non-trivia...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Supervised Machine Learning Algorithms Republic of Korea Female Breast Neoplasms Deep Learning Ultrasonography
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Evaluation of Commonly Used Algorithms for Thyroid Ultrasound Images Segmentation and Improvement Using Machine Learning Approaches.

Journal of healthcare engineering Sep 23, 2018
The thyroid is one of the largest endocrine glands in the human body, which is involved in several body mechanisms like controlling protein synthesis and the body's sensitivity to other hormones and use of energy sources. Hence, it is of prime import...
Diagnosis, Computer-Assisted Thyroid Gland Thyroid Neoplasms Software Ultrasonography Humans Decision Trees Algorithms Neural Networks, Computer Imaging, Three-Dimensional Automation Reproducibility of Results Machine Learning Image Processing, Computer-Assisted
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Multiparametric ultrasomics of significant liver fibrosis: A machine learning-based analysis.

European radiology Sep 3, 2018
OBJECTIVE: To assess significant liver fibrosis by multiparametric ultrasomics data using machine learning.
Male Middle Aged Ultrasonography Prospective Studies Female Adult Humans Support Vector Machine Decision Trees Algorithms Decision Support Techniques Area Under Curve Neural Networks, Computer Hepatitis B, Chronic Machine Learning ROC Curve Logistic Models Liver Cirrhosis
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Regional Multi-View Learning for Cardiac Motion Analysis: Application to Identification of Dilated Cardiomyopathy Patients.

IEEE transactions on bio-medical engineering Aug 15, 2018
OBJECTIVE: The aim of this paper is to describe an automated diagnostic pipeline that uses as input only ultrasound (US) data, but is at the same time informed by a training database of multimodal magnetic resonance (MR) and US image data.
Image Interpretation, Computer-Assisted Movement Cardiomyopathy, Dilated Algorithms Databases, Factual Humans Ultrasonography Multimodal Imaging Support Vector Machine Machine Learning Heart Magnetic Resonance Imaging
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Efficient B-Mode Ultrasound Image Reconstruction From Sub-Sampled RF Data Using Deep Learning.

IEEE transactions on medical imaging Aug 10, 2018
In portable, 3-D, and ultra-fast ultrasound imaging systems, there is an increasing demand for the reconstruction of high-quality images from a limited number of radio-frequency (RF) measurements due to receiver (Rx) or transmit (Xmit) event sub-samp...
Ultrasonography Image Processing, Computer-Assisted Abdomen Carotid Arteries Humans Algorithms Deep Learning
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Transfer learning with deep convolutional neural network for liver steatosis assessment in ultrasound images.

International journal of computer assisted radiology and surgery Aug 9, 2018
PURPOSE: The nonalcoholic fatty liver disease is the most common liver abnormality. Up to date, liver biopsy is the reference standard for direct liver steatosis quantification in hepatic tissue samples. In this paper we propose a neural network-base...
Ultrasonography ROC Curve Fatty Liver Female Adult Male Support Vector Machine Liver Neural Networks, Computer Algorithms Humans
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Machine learning and deep learning applied in ultrasound.

Ultraschall in der Medizin (Stuttgart, Germany : 1980) Aug 2, 2018
Deep Learning Ultrasonography Machine Learning
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Framework of Computer Aided Diagnosis Systems for Cancer Classification Based on Medical Images.

Journal of medical systems Jul 11, 2018
Early detection of cancer can increase patients' survivability and treatment options. Medical images such as Mammogram, Ultrasound, Magnetic Resonance Imaging, and microscopic images are the common method for cancer diagnosis. Recently, computer-aide...
Humans Neoplasms Diagnosis, Computer-Assisted Algorithms Bayes Theorem Breast Neoplasms Ultrasonography Support Vector Machine Mammography
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Weakly-supervised convolutional neural networks for multimodal image registration.

Medical image analysis Jul 4, 2018
One of the fundamental challenges in supervised learning for multimodal image registration is the lack of ground-truth for voxel-level spatial correspondence. This work describes a method to infer voxel-level transformation from higher-level correspo...
Prostatic Neoplasms Prostate Image Processing, Computer-Assisted Magnetic Resonance Imaging Anatomic Landmarks Male Ultrasonography Imaging, Three-Dimensional Humans Neural Networks, Computer Algorithms
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Deep Recurrent Neural Networks for Prostate Cancer Detection: Analysis of Temporal Enhanced Ultrasound.

IEEE transactions on medical imaging Jun 25, 2018
Temporal enhanced ultrasound (TeUS), comprising the analysis of variations in backscattered signals from a tissue over a sequence of ultrasound frames, has been previously proposed as a new paradigm for tissue characterization. In this paper, we prop...
Algorithms Male Deep Learning Image Interpretation, Computer-Assisted Ultrasonography Humans Prostatic Neoplasms Prostate
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