AIMC Topic: Algorithms

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Machine learning for automated quality assurance in radiotherapy: A proof of principle using EPID data description.

Medical physics Mar 4, 2019
PURPOSE: Developing automated methods to identify task-driven quality assurance (QA) procedures is key toward increasing safety, efficacy, and efficiency. We investigate the use of machine learning (ML) methods for possible visualization, automation,...
Machine Learning Algorithms Neoplasms Humans Phantoms, Imaging Electrical Equipment and Supplies Particle Accelerators Quality Assurance, Health Care Automation Radiotherapy Dosage
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Architectures and accuracy of artificial neural network for disease classification from omics data.

BMC genomics Mar 4, 2019
BACKGROUND: Deep learning has made tremendous successes in numerous artificial intelligence applications and is unsurprisingly penetrating into various biomedical domains. High-throughput omics data in the form of molecular profile matrices, such as ...
Humans Neural Networks, Computer Support Vector Machine Metabolome Bayes Theorem Gene Expression Profiling Deep Learning Artificial Intelligence Logistic Models Machine Learning Algorithms
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Development of a deep neural network for automated electromyographic pattern classification.

The Journal of experimental biology Mar 4, 2019
Determining the signal quality of surface electromyography (sEMG) recordings is time consuming and requires the judgement of trained observers. An automated procedure to evaluate sEMG quality would streamline data processing and reduce time demands. ...
Signal Processing, Computer-Assisted Electromyography Humans Neural Networks, Computer Algorithms
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Deep Learning Network for Multiuser Detection in Satellite Mobile Communication System.

Computational intelligence and neuroscience Mar 4, 2019
A multiuser detection (MUD) algorithm based on deep learning network is proposed for the satellite mobile communication system. Due to relative motion between the satellite and users, multiple access interference (MUI) introduced by multipath fading ...
Signal-To-Noise Ratio Signal Processing, Computer-Assisted Algorithms Computer Communication Networks Motion Deep Learning Satellite Communications
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Breast Microcalcification Diagnosis Using Deep Convolutional Neural Network from Digital Mammograms.

Computational and mathematical methods in medicine Mar 3, 2019
Mammography is successfully used as an effective screening tool for cancer diagnosis. A calcification cluster on mammography is a primary sign of cancer. Early researches have proved the diagnostic value of the calcification, yet their performance is...
Breast Aged Stochastic Processes Humans Calcinosis Prognosis Young Adult Mammography Neural Networks, Computer Female Adult Deep Learning Software Sensitivity and Specificity Reproducibility of Results Biopsy Image Processing, Computer-Assisted Algorithms Breast Neoplasms Middle Aged Early Detection of Cancer
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IARNN-Based Semantic-Containing Double-Level Embedding Bi-LSTM for Question-and-Answer Matching.

Computational intelligence and neuroscience Mar 3, 2019
We propose a novel end-to-end approach, namely, the semantic-containing double-level embedding Bi-LSTM model (SCDE-Bi-LSTM), to solve the three key problems of Q&A matching in the Chinese medical field. In the similarity calculation of the Q&A core m...
Neural Networks, Computer Machine Learning Algorithms Language Asian People Attention Humans Semantics
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Study on Hesitant Fuzzy Information Measures and Their Clustering Application.

Computational intelligence and neuroscience Mar 3, 2019
At present, research on hesitant fuzzy operations and measures is based on equal length processing, and an equal length processing method will inevitably destroy the original data structure and change the data information. This is an urgent problem t...
Entropy Fuzzy Logic Uncertainty Cluster Analysis Decision Making Humans Algorithms
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Retinal blood vessel extraction employing effective image features and combination of supervised and unsupervised machine learning methods.

Artificial intelligence in medicine Mar 2, 2019
In medicine, retinal vessel analysis of fundus images is a prominent task for the screening and diagnosis of various ophthalmological and cardiovascular diseases. In this research, a method is proposed for extracting the retinal blood vessels employi...
Algorithms Image Processing, Computer-Assisted Cluster Analysis Humans Retinal Vessels Decision Trees Unsupervised Machine Learning Supervised Machine Learning
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Automated noncoplanar treatment planning strategy in stereotactic radiosurgery of multiple cranial metastases: HyperArc and CyberKnife dose distributions.

Medical dosimetry : official journal of the American Association of Medical Dosimetrists Mar 1, 2019
The purpose of this study was to evaluate and compare the dosimetric effects of HyperArc-based stereotactic radiosurgery (SRS) and a robotic radiosurgery system-based planning using CyberKnife for multiple cranial metastases. In total, 11 cancer pati...
Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiosurgery Radiometry Middle Aged Magnetic Resonance Imaging Robotics Brain Neoplasms Male Humans Algorithms Female Aged
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Exponential synchronization of time-varying delayed complex-valued neural networks under hybrid impulsive controllers.

Neural networks : the official journal of the International Neural Network Society Mar 1, 2019
This paper focuses on exponential synchronization for master-slave time-varying delayed complex-valued neural networks (CVNNs) under hybrid impulsive controllers. Hybrid impulsive controllers is the extension of impulsive controllers, which can simul...
Algorithms Time Factors Neural Networks, Computer
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