AIMC Topic:
Ultrasonography

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Automatic segmentation of ultrasound images of gastrocnemius medialis with different echogenicity levels using convolutional neural networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
The purpose of this study was to develop an automatic method for the segmentation of muscle cross-sectional area on transverse B-mode ultrasound images of gastrocnemius medialis using a convolutional neural network(CNN). In the provided dataset image...
Image Processing, Computer-Assisted Muscle, Skeletal Algorithms Ultrasonography Humans Neural Networks, Computer
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Deep Learning based Quantification of Ovary and Follicles using 3D Transvaginal Ultrasound in Assisted Reproduction.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
Quantification of ovarian and follicular volume and follicle count are performed in clinical practice for diagnosis and management in assisted reproduction. Ovarian volume and Antral Follicle Count (AFC) are typically tracked over the ovulation cycle...
Ovary Female Deep Learning Imaging, Three-Dimensional Ovarian Follicle Ultrasonography Humans
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Detecting muscle activation using ultrasound speed of sound inversion with deep learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
Functional muscle imaging is essential for diagnostics of a multitude of musculoskeletal afflictions such as degenerative muscle diseases, muscle injuries, muscle atrophy, and neurological related issues such as spasticity. However, there is currentl...
Ultrasonography Sound Muscle Contraction Deep Learning Muscles
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A Pilot Study on Scatterer Density Classification of Ultrasound Images Using Deep Neural Networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
Quantitative ultrasound estimates different intrinsic tissue properties, which can be used for tissue characterization. Among different tissue properties, the effective number of scatterers per resolution cell is an important parameter, which can be ...
Algorithms Pilot Projects Ultrasonography Neural Networks, Computer
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Extracting Membrane Borders in IVUS Images Using a Multi-Scale Feature Aggregated U-Net.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
Automatic extraction of the lumen-intima border (LIB) and the media-adventitia border (MAB) in intravascular ultrasound (IVUS) images is of high clinical interest. Despite the superior performance achieved by deep neural networks (DNNs) on various me...
Adventitia Neural Networks, Computer Membranes Ultrasonography
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Role of 5G-powered remote robotic ultrasound during the COVID-19 outbreak: insights from two cases.

European review for medical and pharmacological sciences Jul 1, 2020
The 2019 Novel Coronavirus disease (COVID-19) broke out in Wuhan, China in December 2019 and spread throughout the world. Early screening and early diagnosis play key roles in prevention and management of the epidemic. Attention should also be paid t...
Lung Ultrasonography Pneumonia Male Middle Aged Coronavirus Infections Betacoronavirus Pneumonia, Viral Remote Sensing Technology RNA, Viral Robotics Pandemics SARS-CoV-2 Humans Female COVID-19 Adult
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Machine Learning and Artificial Intelligence in Pediatric Research: Current State, Future Prospects, and Examples in Perioperative and Critical Care.

The Journal of pediatrics Jun 1, 2020
Hemorrhage Anesthesia Humans Intraoperative Complications Heart Arrest Artificial Intelligence Intensive Care Units, Pediatric Risk Assessment Patient Admission Machine Learning Ultrasonography Airway Management Blood Transfusion Postoperative Complications Algorithms Hospital Mortality Perioperative Care Critical Care Monitoring, Intraoperative Biomedical Research
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Emerging technologies in neuromuscular ultrasound.

Muscle & nerve Jun 1, 2020
Neuromuscular ultrasound is an accepted and valuable element in the evaluation of peripheral nerve and muscle disease. However, ultrasound has several limitations to consider, including operator dependency and lack of a viable contrast agent. Fortuna...
Biomedical Technology Neuromuscular Diseases Ultrasonography Humans Artificial Intelligence Elasticity Imaging Techniques Animals
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Advanced imaging techniques for chronic pancreatitis.

Abdominal radiology (New York) May 1, 2020
MRI and MRCP play an important role in the diagnosis of chronic pancreatitis (CP) by imaging pancreatic parenchyma and ducts. MRI/MRCP is more widely used than computed tomography (CT) for mild to moderate CP due to its increased sensitivity for panc...
Humans Pancreatitis, Chronic Tomography, X-Ray Computed Artificial Intelligence Cholangiopancreatography, Magnetic Resonance Ultrasonography Magnetic Resonance Imaging
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[Multi-feature Extraction and Classification of Breast Tumor in Ultrasound Image].

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation Apr 8, 2020
OBJECTIVE: Feature extraction of breast tumors is very important in the breast tumor detection (benign and malignant) in ultrasound image. The traditional quantitative description of breast tumors has some shortcomings, such as inaccuracy. A simple a...
Breast Neoplasms Ultrasonography Humans Support Vector Machine Algorithms
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