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Deep learning with cinematic rendering: fine-tuning deep neural networks using photorealistic medical images.

Physics in medicine and biology Sep 13, 2018
Deep learning has emerged as a powerful artificial intelligence tool to interpret medical images for a growing variety of applications. However, the paucity of medical imaging data with high-quality annotations that is necessary for training such met...
Humans Animals Deep Learning Colon Light Swine Neural Networks, Computer Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Endoscopy Photography
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Parallel use of a convolutional neural network and bagged tree ensemble for the classification of Holter ECG.

Physiological measurement Sep 13, 2018
UNLABELLED: The automated detection of arrhythmia in a Holter ECG signal is a challenging task due to its complex clinical content and data quantity. It is also challenging due to the fact that Holter ECG is usually affected by noise. Such noise may ...
Pattern Recognition, Automated Electrocardiography Signal Processing, Computer-Assisted Machine Learning Atrial Fibrillation Diagnosis, Computer-Assisted Humans
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Multi-stage SVM approach for cardiac arrhythmias detection in short single-lead ECG recorded by a wearable device.

Physiological measurement Sep 13, 2018
OBJECTIVE: Use of wearable ECG devices for arrhythmia screening is limited due to poor signal quality, small number of leads and short records, leading to incorrect recognition of pathological events. This paper introduces a novel approach to classif...
Humans Reproducibility of Results Wearable Electronic Devices Atrial Fibrillation Wavelet Analysis Electrocardiography Multilevel Analysis Support Vector Machine Heart Rate Determination Decision Trees
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Temporal Correlation Structure Learning for MCI Conversion Prediction.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention Sep 13, 2018
In Alzheimer's research, Mild Cognitive Impairment (MCI) is an important intermediate stage between normal aging and Alzheimer's. How to distinguish MCI samples that finally convert to AD from those do not is an essential problem in the prevention an...
Image Interpretation, Computer-Assisted Cognitive Dysfunction Cohort Studies Magnetic Resonance Imaging Reproducibility of Results Humans Sensitivity and Specificity Artificial Intelligence Disease Progression Algorithms Brain
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A Novel Deep Learning Framework on Brain Functional Networks for Early MCI Diagnosis.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention Sep 13, 2018
Although alternations of brain functional networks (BFNs) derived from resting-state functional magnetic resonance imaging (rs-fMRI) have been considered as promising biomarkers for early Alzheimer's disease (AD) diagnosis, it is still challenging to...
Humans Neural Networks, Computer Brain Reproducibility of Results Machine Learning Magnetic Resonance Imaging Algorithms Sensitivity and Specificity Alzheimer Disease Deep Learning Image Interpretation, Computer-Assisted Cognitive Dysfunction
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Learning Generalizable Recurrent Neural Networks from Small Task-fMRI Datasets.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention Sep 13, 2018
Deep learning has become the new state-of-the-art for many problems in image analysis. However, large datasets are often required for such deep networks to learn effectively. This poses a difficult challenge for many medical image analysis problems i...
Child Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Neural Networks, Computer Machine Learning Sensitivity and Specificity Deep Learning Autism Spectrum Disorder Reproducibility of Results
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A New Approach for Advertising CTR Prediction Based on Deep Neural Network via Attention Mechanism.

Computational and mathematical methods in medicine Sep 13, 2018
Click-through rate prediction is critical in Internet advertising and affects web publisher's profits and advertiser's payment. The traditional method of obtaining features using feature extraction did not consider the sparseness of advertising data ...
Area Under Curve Informatics Humans Internet Algorithms Advertising Neural Networks, Computer Attention Reproducibility of Results Machine Learning Models, Statistical
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Real-time, simultaneous myoelectric control using a convolutional neural network.

PloS one Sep 13, 2018
The evolution of deep learning techniques has been transformative as they have allowed complex mappings to be trained between control inputs and outputs without the need for feature engineering. In this work, a myoelectric control system based on con...
Signal Processing, Computer-Assisted Wrist Electromyography Pattern Recognition, Automated Humans Neural Networks, Computer Adult Stochastic Processes Movement Support Vector Machine Muscle, Skeletal
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Diagnostic performance of an artificial intelligence-driven cardiac-structured reporting system for myocardial perfusion SPECT imaging.

Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology Sep 12, 2018
OBJECTIVES: To describe and validate an artificial intelligence (AI)-driven structured reporting system by direct comparison of automatically generated reports to results from actual clinical reports generated by nuclear cardiology experts.
Aged Sensitivity and Specificity Male Artificial Intelligence Retrospective Studies Female Observer Variation Tomography, Emission-Computed, Single-Photon Myocardial Perfusion Imaging Middle Aged Diagnosis, Computer-Assisted Coronary Artery Disease Humans
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Bounded Fuzzy Possibilistic Method Reveals Information about Lung Cancer through Analysis of Metabolomics.

IEEE/ACM transactions on computational biology and bioinformatics Sep 12, 2018
Learning methods, such as conventional clustering and classification, have been applied in diagnosing diseases to categorize samples based on their features. Going beyond clustering samples, membership degrees represent to what degree each sample bel...
Case-Control Studies Lung Neoplasms Fuzzy Logic Metabolome Cluster Analysis Metabolomics Humans Machine Learning Algorithms
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