AIMC Topic:
Ultrasonography

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Deep learning with ultrasonography: automated classification of liver fibrosis using a deep convolutional neural network.

European radiology Sep 2, 2019
OBJECTIVES: The aim of this study was to develop a deep convolutional neural network (DCNN) for the prediction of the METAVIR score using B-mode ultrasonography images.
Male Middle Aged Deep Learning Retrospective Studies Female Humans Reproducibility of Results Algorithms Liver Cirrhosis Radiologists Elasticity Imaging Techniques Clinical Competence Ultrasonography ROC Curve
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Localizing B-Lines in Lung Ultrasonography by Weakly Supervised Deep Learning, In-Vivo Results.

IEEE journal of biomedical and health informatics Aug 19, 2019
Lung ultrasound (LUS) is nowadays gaining growing attention from both the clinical and technical world. Of particular interest are several imaging-artifacts, e.g., A- and B- line artifacts. While A-lines are a visual pattern which essentially represe...
Artifacts Phantoms, Imaging Lung Diseases Supervised Machine Learning Image Interpretation, Computer-Assisted Humans Lung Deep Learning Ultrasonography
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Improving realism in patient-specific abdominal ultrasound simulation using CycleGANs.

International journal of computer assisted radiology and surgery Aug 7, 2019
PURPOSE: In this paper, we propose to apply generative adversarial neural networks trained with a cycle consistency loss, or CycleGANs, to improve realism in ultrasound (US) simulation from computed tomography (CT) scans.
Humans Tomography, X-Ray Computed Ultrasonography Image Processing, Computer-Assisted Neural Networks, Computer Machine Learning Algorithms Abdomen
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Detection of medical text semantic similarity based on convolutional neural network.

BMC medical informatics and decision making Aug 7, 2019
BACKGROUND: Imaging examinations, such as ultrasonography, magnetic resonance imaging and computed tomography scans, play key roles in healthcare settings. To assess and improve the quality of imaging diagnosis, we need to manually find and compare t...
ROC Curve Algorithms Information Storage and Retrieval Electronic Health Records Humans Pathology Semantics Ultrasonography Neural Networks, Computer
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Evaluation of machine learning methods with Fourier Transform features for classifying ovarian tumors based on ultrasound images.

PloS one Jul 26, 2019
INTRODUCTION: Ovarian tumors are the most common diagnostic challenge for gynecologists and ultrasound examination has become the main technique for assessment of ovarian pathology and for preoperative distinction between malignant and benign ovarian...
Image Processing, Computer-Assisted Female Ultrasonography Fourier Analysis Ovarian Neoplasms ROC Curve Humans Area Under Curve Machine Learning Algorithms
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A Deep Learning Framework for Single-Sided Sound Speed Inversion in Medical Ultrasound.

IEEE transactions on bio-medical engineering Jul 25, 2019
OBJECTIVE: Ultrasound elastography is gaining traction as an accessible and useful diagnostic tool for things such as, cancer detection and differentiation and thyroid disease diagnostics. Unfortunately, state-of-the-art shear wave imaging techniques...
Sound Phantoms, Imaging Elasticity Imaging Techniques Humans Deep Learning Ultrasonography
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Accurate and robust deep learning-based segmentation of the prostate clinical target volume in ultrasound images.

Medical image analysis Jul 15, 2019
The goal of this work was to develop a method for accurate and robust automatic segmentation of the prostate clinical target volume in transrectal ultrasound (TRUS) images for brachytherapy. These images can be difficult to segment because of weak or...
Anatomic Landmarks Prostatic Neoplasms Prostate Artifacts Pattern Recognition, Automated Brachytherapy Deep Learning Ultrasonography Image Processing, Computer-Assisted Humans Neural Networks, Computer Male
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Management of Thyroid Nodules Seen on US Images: Deep Learning May Match Performance of Radiologists.

Radiology Jul 9, 2019
BackgroundManagement of thyroid nodules may be inconsistent between different observers and time consuming for radiologists. An artificial intelligence system that uses deep learning may improve radiology workflow for management of thyroid nodules.Pu...
Middle Aged Ultrasonography Reproducibility of Results Humans Thyroid Nodule Sensitivity and Specificity Deep Learning Image Interpretation, Computer-Assisted Male Retrospective Studies Thyroid Gland Female
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Classification of Carotid Artery Intima Media Thickness Ultrasound Images with Deep Learning.

Journal of medical systems Jul 5, 2019
Cerebrovascular accident due to carotid artery disease is the most common cause of death in developed countries following heart disease and cancer. For a reliable early detection of atherosclerosis, Intima Media Thickness (IMT) measurement and classi...
Carotid Intima-Media Thickness Carotid Arteries Deep Learning Ultrasonography Decision Support Systems, Clinical Humans Artificial Intelligence Algorithms
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Improved Deep Learning Network Based in combination with Cost-sensitive Learning for Early Detection of Ovarian Cancer in Color Ultrasound Detecting System.

Journal of medical systems Jun 28, 2019
With the development of theories and technologies in medical imaging, most of the tumors can be detected in the early stage. However, the nature of ovarian cysts lacks accurate judgement, leading to that many patients with benign nodules still need F...
Ultrasonography Humans Early Detection of Cancer Female Neural Networks, Computer Ovarian Neoplasms Diagnosis, Computer-Assisted Deep Learning
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