AIMC Topic: Neural Networks, Computer

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Multi-level features combined end-to-end learning for automated pathological grading of breast cancer on digital mammograms.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Nov 13, 2018
We propose to discriminate the pathological grades directly on digital mammograms instead of pathological images. An end-to-end learning algorithm based on the combined multi-level features is proposed. Low-level features are extracted and selected b...
Mammography Neoplasm Grading Female Breast Neoplasms Logistic Models Neural Networks, Computer Algorithms Humans
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How Cognitive Machines Can Augment Medical Imaging.

AJR. American journal of roentgenology Nov 13, 2018
OBJECTIVE: Artificial intelligence (AI) neural networks rapidly convert disparate facts and data into highly predictive analytic models. Machine learning maps image-patient phenotype correlations opaque to standard statistics. Deep learning performs ...
Humans Neural Networks, Computer Algorithms Electronic Health Records Deep Learning Artificial Intelligence Machine Learning Diagnostic Imaging Image Processing, Computer-Assisted Natural Language Processing
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Artificial Neural Network to Predict Varicocele Impact on Male Fertility through Testicular Endocannabinoid Gene Expression Profiles.

BioMed research international Nov 13, 2018
The relationship between varicocele and fertility has always been a matter of debate because of the absence of predictive clinical indicators or molecular markers able to define the severity of this disease. Even though accumulated evidence demonstra...
Testis Neural Networks, Computer Gene Expression Regulation Rats, Sprague-Dawley Animals Male Endocannabinoids Regression Analysis Gene Expression Profiling Varicocele Fertility
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Adaptive Neural Control of Underactuated Surface Vessels With Prescribed Performance Guarantees.

IEEE transactions on neural networks and learning systems Nov 12, 2018
This paper presents adaptive neural tracking control of underactuated surface vessels with modeling uncertainties and time-varying external disturbances, where the tracking errors consisting of position and orientation errors are required to keep ins...
Neural Networks, Computer Ships Humans
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Multistability of Switched Neural Networks With Piecewise Linear Activation Functions Under State-Dependent Switching.

IEEE transactions on neural networks and learning systems Nov 12, 2018
This paper is concerned with the multistability of switched neural networks with piecewise linear activation functions under state-dependent switching. Under some reasonable assumptions on the switching threshold and activation functions, by using th...
Computer Simulation Linear Models Neural Networks, Computer Algorithms
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Concept learning through deep reinforcement learning with memory-augmented neural networks.

Neural networks : the official journal of the International Neural Network Society Nov 12, 2018
Deep neural networks have shown superior performance in many regimes to remember familiar patterns with large amounts of data. However, the standard supervised deep learning paradigm is still limited when facing the need to learn new concepts efficie...
Neural Networks, Computer Deep Learning Humans Reinforcement, Psychology Memory Concept Formation
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A neural network approach to analyze cross-sections of muscle fibers in pathological images.

Computers in biology and medicine Nov 12, 2018
Morphological characteristics of muscle fibers, such as their cross-sections, are important indicators of the health and function of the musculoskeletal system. However, manual analysis of muscle fiber morphology is a labor-intensive and time-consumi...
Muscular Dystrophies Mice, Inbred mdx Male Neural Networks, Computer Image Processing, Computer-Assisted Animals Mice Disease Models, Animal Muscle Fibers, Skeletal
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Cardiac sarcoidosis classification with deep convolutional neural network-based features using polar maps.

Computers in biology and medicine Nov 12, 2018
AIMS: The aim of this study was to determine whether deep convolutional neural network (DCNN)-based features can represent the difference between cardiac sarcoidosis (CS) and non-CS using polar maps.
Cardiomyopathies Sarcoidosis Positron Emission Tomography Computed Tomography Retrospective Studies Female Humans Male Aged Neural Networks, Computer Middle Aged
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A study of positioning orientation effect on segmentation accuracy using convolutional neural networks for rectal cancer.

Journal of applied clinical medical physics Nov 12, 2018
PURPOSE: Convolutional neural networks (CNN) have greatly improved medical image segmentation. A robust model requires training data can represent the entire dataset. One of the differing characteristics comes from variability in patient positioning ...
Rectal Neoplasms Organs at Risk Radiotherapy Planning, Computer-Assisted Humans Neural Networks, Computer Patient Positioning Radiotherapy Dosage Supine Position Radiotherapy, Intensity-Modulated Prone Position
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Use of Artificial Neural Network in Determination of Shade, Light Curing Unit, and Composite Parameters' Effect on Bottom/Top Vickers Hardness Ratio of Composites.

BioMed research international Nov 12, 2018
OBJECTIVE: To assess the influence of light emitting diode (LED) and quartz tungsten halogen (QTH) light curing unit (LCU) on the bottom/top (B/T) Vickers Hardness Number (VHN) ratio of different composites with different shades and determination of ...
Dental Materials Hardness Curing Lights, Dental Materials Testing Neural Networks, Computer Analysis of Variance Composite Resins
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