AIMC Topic: Computer Systems

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Global and Local Knowledge-Aware Attention Network for Action Recognition.

IEEE transactions on neural networks and learning systems Jan 4, 2021
Convolutional neural networks (CNNs) have shown an effective way to learn spatiotemporal representation for action recognition in videos. However, most traditional action recognition algorithms do not employ the attention mechanism to focus on essent...
Machine Learning Algorithms Databases, Factual Reproducibility of Results Humans Neural Networks, Computer Video Recording Pattern Recognition, Automated Computer Systems Knowledge Movement Image Processing, Computer-Assisted Benchmarking Attention
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A Method to Improve Availability and Quality of Patient Race Data in an Electronic Health Record System.

Applied clinical informatics Nov 25, 2020
BACKGROUND: Although federal regulations mandate documentation of structured race data according to Office of Management and Budget (OMB) categories in electronic health record (EHR) systems, many institutions have reported gaps in EHR race data that...
Documentation Electronic Health Records Computer Systems Natural Language Processing Humans Data Accuracy
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A real-time system using deep learning to detect and track ureteral orifices during urinary endoscopy.

Computers in biology and medicine Nov 12, 2020
BACKGROUND AND OBJECTIVE: To automatically identify and locate various types and states of the ureteral orifice (UO) in real endoscopy scenarios, we developed and verified a real-time computer-aided UO detection and tracking system using an improved ...
Deep Learning Computer Systems Neural Networks, Computer Algorithms Endoscopy
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Deep-Learning Image Reconstruction for Real-Time Photoacoustic System.

IEEE transactions on medical imaging Oct 28, 2020
Recent advances in photoacoustic (PA) imaging have enabled detailed images of microvascular structure and quantitative measurement of blood oxygenation or perfusion. Standard reconstruction methods for PA imaging are based on solving an inverse probl...
Neural Networks, Computer Deep Learning Computer Systems Image Processing, Computer-Assisted
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Helping the Blind to Get through COVID-19: Social Distancing Assistant Using Real-Time Semantic Segmentation on RGB-D Video.

Sensors (Basel, Switzerland) Sep 12, 2020
The current COVID-19 pandemic is having a major impact on our daily lives. Social distancing is one of the measures that has been implemented with the aim of slowing the spread of the disease, but it is difficult for blind people to comply with this....
Betacoronavirus Pneumonia, Viral Smart Glasses Humans Artificial Intelligence Pandemics COVID-19 Acoustics Algorithms Image Processing, Computer-Assisted Semantics Adult Female Robotics Physical Distancing Germany SARS-CoV-2 Male Equipment Design Blindness Persons with Visual Disabilities Wearable Electronic Devices Coronavirus Infections Sensory Aids Computer Systems Color Vision
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Contrastive Cross-Site Learning With Redesigned Net for COVID-19 CT Classification.

IEEE journal of biomedical and health informatics Sep 10, 2020
The pandemic of coronavirus disease 2019 (COVID-19) has lead to a global public health crisis spreading hundreds of countries. With the continuous growth of new infections, developing automated tools for COVID-19 identification with CT image is highl...
Machine Learning Pandemics COVID-19 Databases, Factual Humans Computational Biology Radiographic Image Interpretation, Computer-Assisted Coronavirus Infections COVID-19 Testing Tomography, X-Ray Computed SARS-CoV-2 Deep Learning Computer Systems Clinical Laboratory Techniques Betacoronavirus Pneumonia, Viral
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Neural Network-Based Study about Correlation Model between TCM Constitution and Physical Examination Indexes Based on 950 Physical Examinees.

Journal of healthcare engineering Sep 1, 2020
PURPOSE: To establish the correlation model between Traditional Chinese Medicine (TCM) constitution and physical examination indexes by backpropagation neural network (BPNN) technology. A new method for the identification of TCM constitution in clini...
Urinalysis Physical Examination Medicine, Chinese Traditional Models, Statistical Software Humans Data Collection Lipids Pattern Recognition, Automated Neural Networks, Computer Algorithms Programming Languages Artificial Intelligence Blood Chemical Analysis Reproducibility of Results Liver Function Tests Computer Systems
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Computer-Aided System for the Detection of Multicategory Pulmonary Tuberculosis in Radiographs.

Journal of healthcare engineering Aug 24, 2020
The early screening and diagnosis of tuberculosis plays an important role in the control and treatment of tuberculosis infections. In this paper, an integrated computer-aided system based on deep learning is proposed for the detection of multiple cat...
False Positive Reactions Radiography, Thoracic Thorax X-Rays Algorithms Area Under Curve Humans Databases, Factual Equipment Design Reproducibility of Results Diagnosis, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Neural Networks, Computer Sensitivity and Specificity Deep Learning Tuberculosis, Pulmonary Computer Systems ROC Curve
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Deep Learning-Based Real-Time Multiple-Person Action Recognition System.

Sensors (Basel, Switzerland) Aug 23, 2020
Action recognition has gained great attention in automatic video analysis, greatly reducing the cost of human resources for smart surveillance. Most methods, however, focus on the detection of only one action event for a single person in a well-segme...
Human Activities Humans Deep Learning Computer Systems Biometric Identification
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α-Satellite: An AI-Driven System and Benchmark Datasets for Dynamic COVID-19 Risk Assessment in the United States.

IEEE journal of biomedical and health informatics Jul 15, 2020
The fast evolving and deadly outbreak of coronavirus disease (COVID-19) has posed grand challenges to human society. To slow the spread of virus infections and better respond for community mitigation, by advancing capabilities of artificial intellige...
Databases, Factual SARS-CoV-2 Risk Assessment Geographic Information Systems Computer Systems Computational Biology United States Social Media Humans Artificial Intelligence Pandemics COVID-19 Benchmarking Coronavirus Infections Betacoronavirus Pneumonia, Viral
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