AIMC Topic: Pattern Recognition, Automated

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CIBS: A biomedical text summarizer using topic-based sentence clustering.

Journal of biomedical informatics Nov 13, 2018
Automatic text summarizers can reduce the time required to read lengthy text documents by extracting the most important parts. Multi-document summarizers should produce a summary that covers the main topics of multiple related input texts to diminish...
Semantics Pattern Recognition, Automated Unified Medical Language System Cluster Analysis Natural Language Processing Data Mining Algorithms Image Processing, Computer-Assisted Software
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L1 -Norm Batch Normalization for Efficient Training of Deep Neural Networks.

IEEE transactions on neural networks and learning systems Nov 9, 2018
Batch normalization (BN) has recently become a standard component for accelerating and improving the training of deep neural networks (DNNs). However, BN brings in additional calculations, consumes more memory, and significantly slows down the traini...
Humans Neural Networks, Computer Deep Learning Pattern Recognition, Automated
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Improved model adaptation approach for recognition of reduced-frame-rate continuous speech.

PloS one Nov 7, 2018
In distributed speech recognition applications, the front-end device that stands for any handheld electronic device like smartphones and personal digital assistants (PDAs) captures the speech signal, extracts the speech features, and then sends the s...
Pattern Recognition, Automated Speech Recognition Software User-Computer Interface Smartphone Markov Chains Humans Algorithms Neural Networks, Computer Speech
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Comparison of the automatic segmentation of multiple organs at risk in CT images of lung cancer between deep convolutional neural network-based and atlas-based techniques.

Acta oncologica (Stockholm, Sweden) Nov 6, 2018
BACKGROUND: In this study, a deep convolutional neural network (CNN)-based automatic segmentation technique was applied to multiple organs at risk (OARs) depicted in computed tomography (CT) images of lung cancer patients, and the results were compar...
Humans Neural Networks, Computer Tomography, X-Ray Computed Image Processing, Computer-Assisted Radiography, Thoracic Radiography, Abdominal Atlases as Topic Anatomy, Artistic Organs at Risk Tumor Burden Radiotherapy Planning, Computer-Assisted Lung Neoplasms Pattern Recognition, Automated Esophagus Spine
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Deep Deterministic Learning for Pattern Recognition of Different Cardiac Diseases through the Internet of Medical Things.

Journal of medical systems Nov 5, 2018
Electrocardiography (ECG) sensors play a vital role in the Internet of Medical Things, and these sensors help in monitoring the electrical activity of the heart. ECG signal analysis can improve human life in many ways, from diagnosing diseases among ...
Electrocardiography Internet Myocardial Infarction Atrial Fibrillation Male Deep Learning Image Processing, Computer-Assisted Pattern Recognition, Automated Neural Networks, Computer Female Humans
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Coarse-to-fine information integration in human vision.

NeuroImage Nov 4, 2018
Coarse-to-fine theories of vision propose that the coarse information carried by the low spatial frequencies (LSF) of visual input guides the integration of finer, high spatial frequency (HSF) detail. Whether and how LSF modulates HSF processing in n...
Support Vector Machine Electroencephalography Pattern Recognition, Automated Cerebral Cortex Adult Male Time Factors Evoked Potentials Visual Perception Facial Recognition Female Young Adult Humans
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Will machine learning end the viability of radiology as a thriving medical specialty?

The British journal of radiology Nov 1, 2018
There have been tremendous advances in artificial intelligence (AI) and machine learning (ML) within the past decade, especially in the application of deep learning to various challenges. These include advanced competitive games (such as Chess and Go...
Machine Learning Algorithms Humans Image Interpretation, Computer-Assisted Artificial Intelligence Pattern Recognition, Automated
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A novel attention-based hybrid CNN-RNN architecture for sEMG-based gesture recognition.

PloS one Oct 30, 2018
The surface electromyography (sEMG)-based gesture recognition with deep learning approach plays an increasingly important role in human-computer interaction. Existing deep learning architectures are mainly based on Convolutional Neural Network (CNN) ...
Neural Networks, Computer Algorithms Gestures Signal Processing, Computer-Assisted Electromyography Time Factors Image Processing, Computer-Assisted Humans Attention Databases as Topic Pattern Recognition, Automated
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Automated Algorithm Selection on Continuous Black-Box Problems by Combining Exploratory Landscape Analysis and Machine Learning.

Evolutionary computation Oct 26, 2018
In this article, we build upon previous work on designing informative and efficient Exploratory Landscape Analysis features for characterizing problems' landscapes and show their effectiveness in automatically constructing algorithm selection models ...
Computer Simulation Benchmarking Information Storage and Retrieval Humans Algorithms Pattern Recognition, Automated Machine Learning Decision Support Techniques
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Automatic detection of erosions and ulcerations in wireless capsule endoscopy images based on a deep convolutional neural network.

Gastrointestinal endoscopy Oct 25, 2018
BACKGROUND AND AIMS: Although erosions and ulcerations are the most common small-bowel abnormalities found on wireless capsule endoscopy (WCE), a computer-aided detection method has not been established. We aimed to develop an artificial intelligence...
Capsule Endoscopy Duodenal Ulcer Aged, 80 and over Ileal Diseases Intestine, Small Inflammatory Bowel Diseases Anti-Inflammatory Agents, Non-Steroidal Jejunal Diseases Adult Deep Learning Humans Male Female Area Under Curve Sensitivity and Specificity Peptic Ulcer ROC Curve Neural Networks, Computer Middle Aged Aged Pattern Recognition, Automated Ulcer Software
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