AIMC Topic: Neural Networks, Computer

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Scaled Subprofile Modeling and Convolutional Neural Networks for the Identification of Parkinson's Disease in 3D Nuclear Imaging Data.

International journal of neural systems Mar 3, 2019
Over the last years convolutional neural networks (CNNs) have shown remarkable results in different image classification tasks, including medical imaging. One area that has been less explored with CNNs is Positron Emission Tomography (PET). Fluorodeo...
Principal Component Analysis Positron-Emission Tomography Fluorodeoxyglucose F18 Imaging, Three-Dimensional Parkinson Disease Models, Statistical Middle Aged Case-Control Studies Functional Neuroimaging Humans Neural Networks, Computer Brain Female Aged Male
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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...
Biopsy Reproducibility of Results Breast Humans Aged Middle Aged Stochastic Processes Deep Learning Neural Networks, Computer Young Adult Early Detection of Cancer Image Processing, Computer-Assisted Algorithms Software Calcinosis Prognosis Adult Mammography Sensitivity and Specificity Female Breast Neoplasms
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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...
Humans Neural Networks, Computer Machine Learning Algorithms Language Asian People Attention Semantics
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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...
Neural Networks, Computer Algorithms Time Factors
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Markerless 2D kinematic analysis of underwater running: A deep learning approach.

Journal of biomechanics Mar 1, 2019
Kinematic analysis is often performed with a camera system combined with reflective markers placed over bony landmarks. This method is restrictive (and often expensive), and limits the ability to perform analyses outside of the lab. In the present st...
Biomechanical Phenomena Deep Learning Image Processing, Computer-Assisted Humans Motion Neural Networks, Computer Lower Extremity Video Recording Reproducibility of Results Immersion Biophysics Running
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CropDeep: The Crop Vision Dataset for Deep-Learning-Based Classification and Detection in Precision Agriculture.

Sensors (Basel, Switzerland) Mar 1, 2019
Intelligence has been considered as the major challenge in promoting economic potential and production efficiency of precision agriculture. In order to apply advanced deep-learning technology to complete various agricultural tasks in online and offli...
Deep Learning Agriculture Neural Networks, Computer Machine Learning Algorithms
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A multi-task convolutional deep neural network for variant calling in single molecule sequencing.

Nature communications Mar 1, 2019
The accurate identification of DNA sequence variants is an important, but challenging task in genomics. It is particularly difficult for single molecule sequencing, which has a per-nucleotide error rate of ~5-15%. Meeting this demand, we developed Cl...
Base Sequence Genome, Human Genotyping Techniques Computational Biology Sequence Analysis, DNA Neural Networks, Computer DNA Mutational Analysis Software Humans Genomics INDEL Mutation Genome-Wide Association Study Polymorphism, Single Nucleotide Nanopores Genotype
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MMSplice: modular modeling improves the predictions of genetic variant effects on splicing.

Genome biology Mar 1, 2019
Predicting the effects of genetic variants on splicing is highly relevant for human genetics. We describe the framework MMSplice (modular modeling of splicing) with which we built the winning model of the CAGI5 exon skipping prediction challenge. The...
Models, Genetic Genetic Variation Genetic Diseases, Inborn Alternative Splicing Neural Networks, Computer
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Robust optimization through neuroevolution.

PloS one Mar 1, 2019
We propose a method for evolving neural network controllers robust with respect to variations of the environmental conditions (i.e. that can operate effectively in new conditions immediately, without the need to adapt to variations). The method speci...
Models, Theoretical Evolution, Molecular Gene-Environment Interaction Neural Networks, Computer
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Deep learning for predicting toxicity of chemicals: a mini review.

Journal of environmental science and health. Part C, Environmental carcinogenesis & ecotoxicology reviews Mar 1, 2019
Humans and wildlife inhabit a world with panoply of natural and synthetic chemicals. Alarmingly, only a limited number of chemicals have undergone comprehensive toxicological evaluation due to limitations of traditional toxicity testing. High-through...
High-Throughput Screening Assays Quantitative Structure-Activity Relationship Toxicity Tests Deep Learning Humans Models, Chemical Neural Networks, Computer Environmental Pollutants Machine Learning
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