AIMC Topic:
Supervised Machine Learning

Clear Filters Showing 1161 to 1170 of 1634 articles

Motion artifact recognition and quantification in coronary CT angiography using convolutional neural networks.

Medical image analysis Nov 15, 2018
Excellent image quality is a primary prerequisite for diagnostic non-invasive coronary CT angiography. Artifacts due to cardiac motion may interfere with detection and diagnosis of coronary artery disease and render subsequent treatment decisions mor...
Humans Neural Networks, Computer Software Motion Artifacts Computed Tomography Angiography Coronary Angiography Supervised Machine Learning Algorithms Cardiac-Gated Imaging Techniques
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A distributed semi-supervised learning algorithm based on manifold regularization using wavelet neural network.

Neural networks : the official journal of the International Neural Network Society Nov 14, 2018
This paper aims to propose a distributed semi-supervised learning (D-SSL) algorithm to solve D-SSL problems, where training samples are often extremely large-scale and located on distributed nodes over communication networks. Training data of each no...
Neural Networks, Computer Supervised Machine Learning
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Defining heatwave thresholds using an inductive machine learning approach.

PloS one Nov 7, 2018
Establishing appropriate heatwave thresholds is important in reducing adverse human health consequences as it enables a more effective heatwave warning system and response plan. This paper defined such thresholds by focusing on the non-linear relatio...
Emergency Service, Hospital Supervised Machine Learning Seasons Middle Aged Adolescent Extreme Heat Heat Stress Disorders Meteorology Hospitalization Aged Adult Male Young Adult Humans
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Using Unlabeled Data to Discover Bivariate Causality with Deep Restricted Boltzmann Machines.

IEEE/ACM transactions on computational biology and bioinformatics Nov 5, 2018
An important question in microbiology is whether treatment causes changes in gut flora, and whether it also affects metabolism. The reconstruction of causal relations purely from non-temporal observational data is challenging. We address the problem ...
Metagenome Databases, Genetic Causality Neural Networks, Computer Supervised Machine Learning Models, Statistical Computational Biology Metformin Humans Gastrointestinal Microbiome
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Deep Analysis of Mitochondria and Cell Health Using Machine Learning.

Scientific reports Nov 5, 2018
There is a critical need for better analytical methods to study mitochondria in normal and diseased states. Mitochondrial image analysis is typically done on still images using slow manual methods or automated methods of limited types of features. Mi...
Machine Learning Phenotype Selenium Humans Mitochondria Stress, Physiological Movement A549 Cells Computational Biology Supervised Machine Learning
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Generalization Bounds for Coregularized Multiple Kernel Learning.

Computational intelligence and neuroscience Nov 1, 2018
Multiple kernel learning (MKL) as an approach to automated kernel selection plays an important role in machine learning. Some learning theories have been built to analyze the generalization of multiple kernel learning. However, less work has been stu...
Supervised Machine Learning Generalization, Psychological Humans Algorithms
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Pulmonary CT Registration Through Supervised Learning With Convolutional Neural Networks.

IEEE transactions on medical imaging Oct 26, 2018
Deformable image registration can be time consuming and often needs extensive parameterization to perform well on a specific application. We present a deformable registration method based on a 3-D convolutional neural network, together with a framewo...
Lung Imaging, Three-Dimensional Supervised Machine Learning Algorithms Tomography, X-Ray Computed Humans Neural Networks, Computer
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A convolutional neural network for ECG annotation as the basis for classification of cardiac rhythms.

Physiological measurement Oct 24, 2018
OBJECTIVE: Electrocardiography is the most common tool to diagnose cardiovascular diseases. Annotation, segmentation and rhythm classification of ECGs are challenging tasks, especially in the presence of atrial fibrillation and other arrhythmias. Our...
Electrocardiography Supervised Machine Learning Heart Rate Artifacts Atrial Fibrillation Neural Networks, Computer Sensitivity and Specificity Diagnosis, Computer-Assisted Humans
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Ultrasound Image Segmentation: A Deeply Supervised Network With Attention to Boundaries.

IEEE transactions on bio-medical engineering Oct 22, 2018
OBJECTIVE: Segmentation of anatomical structures in ultrasound images requires vast radiological knowledge and experience. Moreover, the manual segmentation often results in subjective variations, therefore, an automatic segmentation is desirable. We...
Blood Vessels Neural Networks, Computer Ultrasonography Humans Liver Supervised Machine Learning Image Processing, Computer-Assisted
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Sparse Representation Over Learned Dictionaries on the Riemannian Manifold for Automated Grading of Nuclear Pleomorphism in Breast Cancer.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Oct 22, 2018
Breast cancer is found to be the most pervasive type of cancer among women. Computer aided detection and diagnosis of cancer at the initial stages can increase the chances of recovery and thus reduce the mortality rate through timely prognosis and ad...
Humans Algorithms Female Breast Neoplasms Databases, Factual Artifacts Cell Nucleus Histocytochemistry Supervised Machine Learning Image Interpretation, Computer-Assisted
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