AIMC Topic: Neural Networks, Computer

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Large-Scale Coarse-to-Fine Object Retrieval Ontology and Deep Local Multitask Learning.

Computational intelligence and neuroscience Jul 18, 2019
Object retrieval plays an increasingly important role in video surveillance, digital marketing, e-commerce, etc. It is facing challenges such as large-scale datasets, imbalanced data, viewpoint, cluster background, and fine-grained details (attribute...
Resource Allocation Deep Learning Humans Neural Networks, Computer Biological Ontologies Computer Simulation Problem Solving
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Fully Automated Postlumpectomy Breast Margin Assessment Utilizing Convolutional Neural Network Based Optical Coherence Tomography Image Classification Method.

Academic radiology Jul 17, 2019
BACKGROUND: The purpose of this study was to develop a deep learning classification approach to distinguish cancerous from noncancerous regions within optical coherence tomography (OCT) images of breast tissue for potential use in an intraoperative s...
Humans Neural Networks, Computer Algorithms Postoperative Period Female Breast Neoplasms Margins of Excision Image Processing, Computer-Assisted Magnetic Resonance Imaging Mastectomy, Segmental Tomography, Optical Coherence Breast
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Dynamic Prediction in Clinical Survival Analysis Using Temporal Convolutional Networks.

IEEE journal of biomedical and health informatics Jul 17, 2019
Accurate prediction of disease trajectories is critical for early identification and timely treatment of patients at risk. Conventional methods in survival analysis are often constrained by strong parametric assumptions and limited in their ability t...
Algorithms Alzheimer Disease Survival Analysis Humans Neural Networks, Computer
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Exponential synchronization of semi-Markovian coupled neural networks with mixed delays via tracker information and quantized output controller.

Neural networks : the official journal of the International Neural Network Society Jul 17, 2019
In this paper, exponential synchronization of semi-Markovian coupled neural networks (NNs) with bounded time-varying delay and infinite-time distributed delay (mixed delays) is investigated. Since semi-Markov switching occurs by time-varying probabil...
Markov Chains Neural Networks, Computer Time Factors
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Fully automated analysis for bone scintigraphy with artificial neural network: usefulness of bone scan index (BSI) in breast cancer.

Annals of nuclear medicine Jul 17, 2019
OBJECTIVE: Artificial neural network (ANN) technology has been developed for clinical use to analyze bone scintigraphy with metastatic bone tumors. It has been reported to improve diagnostic accuracy and reproducibility especially in cases of prostat...
Whole Body Imaging Automation Fluorodeoxyglucose F18 Humans Bone and Bones Neural Networks, Computer Retrospective Studies Image Processing, Computer-Assisted Bone Neoplasms Female Positron Emission Tomography Computed Tomography Breast Neoplasms Middle Aged
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A convolutional neural network for ultra-low-dose CT denoising and emphysema screening.

Medical physics Jul 17, 2019
PURPOSE: Reducing dose level to achieve ALARA is an important task in diagnostic and therapeutic applications of computed tomography (CT) imaging. Effective image quality enhancement strategies are crucial to compensate for the degradation caused by ...
Neural Networks, Computer Tomography, X-Ray Computed Lung Image Enhancement Image Processing, Computer-Assisted Radiation Dosage Pulmonary Emphysema Signal-To-Noise Ratio
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Depression recognition using machine learning methods with different feature generation strategies.

Artificial intelligence in medicine Jul 17, 2019
The diagnosis of depression almost exclusively depends on doctor-patient communication and scale analysis, which have the obvious disadvantages such as patient denial, poor sensitivity, subjective biases and inaccuracy. An objective, automated method...
Electroencephalography Signal Processing, Computer-Assisted Face China Humans Machine Learning Diagnostic and Statistical Manual of Mental Disorders Depression Neural Networks, Computer Sensitivity and Specificity Emotions Deep Learning
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Comparative performances of machine learning methods for classifying Crohn Disease patients using genome-wide genotyping data.

Scientific reports Jul 17, 2019
Crohn Disease (CD) is a complex genetic disorder for which more than 140 genes have been identified using genome wide association studies (GWAS). However, the genetic architecture of the trait remains largely unknown. The recent development of machin...
Polymorphism, Single Nucleotide Genotype Logistic Models Genome-Wide Association Study ROC Curve Genetic Predisposition to Disease Crohn Disease Alleles Nonlinear Dynamics Models, Genetic Decision Trees Area Under Curve Humans Neural Networks, Computer Female Male Deep Learning Genotyping Techniques INDEL Mutation
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Synchronization of chaotic neural networks with time delay via distributed delayed impulsive control.

Neural networks : the official journal of the International Neural Network Society Jul 16, 2019
This letter investigates the impulsive synchronization of chaotic neural networks with time delays. A novel impulsive delayed inequality is proposed, where the control effect of distributed delayed impulses is fully considered. Based on the inequalit...
Neural Networks, Computer Nonlinear Dynamics Time Factors
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Development and validation of 15-month mortality prediction models: a retrospective observational comparison of machine-learning techniques in a national sample of Medicare recipients.

BMJ open Jul 16, 2019
OBJECTIVE: The objective is to develop and validate a predictive model for 15-month mortality using a random sample of community-dwelling Medicare beneficiaries.
Mortality Decision Trees Bayes Theorem Medicare Neural Networks, Computer Aged Humans Logistic Models Machine Learning Aged, 80 and over United States Female Male Models, Statistical
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