AIMC Topic: Neural Networks, Computer

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Fully automatic detection and segmentation of abdominal aortic thrombus in post-operative CTA images using Deep Convolutional Neural Networks.

Medical image analysis Mar 27, 2018
Computerized Tomography Angiography (CTA) based follow-up of Abdominal Aortic Aneurysms (AAA) treated with Endovascular Aneurysm Repair (EVAR) is essential to evaluate the progress of the patient and detect complications. In this context, accurate qu...
Computed Tomography Angiography Thrombosis Artifacts Pattern Recognition, Automated Humans Neural Networks, Computer Contrast Media Aortic Aneurysm, Abdominal Radiographic Image Interpretation, Computer-Assisted
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A hybrid model based on neural networks for biomedical relation extraction.

Journal of biomedical informatics Mar 27, 2018
Biomedical relation extraction can automatically extract high-quality biomedical relations from biomedical texts, which is a vital step for the mining of biomedical knowledge hidden in the literature. Recurrent neural networks (RNNs) and convolutiona...
Humans Neural Networks, Computer Models, Statistical Natural Language Processing Drug Interactions Machine Learning Algorithms Research Design False Positive Reactions Data Mining Medical Informatics Pattern Recognition, Automated
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Sequential regulatory activity prediction across chromosomes with convolutional neural networks.

Genome research Mar 27, 2018
Models for predicting phenotypic outcomes from genotypes have important applications to understanding genomic function and improving human health. Here, we develop a machine-learning system to predict cell-type-specific epigenetic and transcriptional...
Promoter Regions, Genetic Chromosomes Regulatory Sequences, Nucleic Acid Epigenomics Models, Genetic Gene Expression Regulation Humans Neural Networks, Computer Machine Learning Animals Gene Expression Profiling Genomics Polymorphism, Single Nucleotide Computational Biology
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A robust deep convolutional neural network for the classification of abnormal cardiac rhythm using single lead electrocardiograms of variable length.

Physiological measurement Mar 27, 2018
OBJECTIVE: Atrial fibrillation (AF) is a major cause of hospitalization and death in the United States. Moreover, as the average age of individuals increases around the world, early detection and diagnosis of AF become even more pressing. In this pap...
Signal Processing, Computer-Assisted Arrhythmias, Cardiac Heart Rate Humans Neural Networks, Computer Electrocardiography
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Deep Learning Methods for Underwater Target Feature Extraction and Recognition.

Computational intelligence and neuroscience Mar 27, 2018
The classification and recognition technology of underwater acoustic signal were always an important research content in the field of underwater acoustic signal processing. Currently, wavelet transform, Hilbert-Huang transform, and Mel frequency ceps...
Pattern Recognition, Automated Neural Networks, Computer Machine Learning Water Signal Processing, Computer-Assisted Acoustics
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Statistical and Machine Learning forecasting methods: Concerns and ways forward.

PloS one Mar 27, 2018
Machine Learning (ML) methods have been proposed in the academic literature as alternatives to statistical ones for time series forecasting. Yet, scant evidence is available about their relative performance in terms of accuracy and computational requ...
Bayes Theorem Neural Networks, Computer Normal Distribution Machine Learning Forecasting Support Vector Machine Models, Statistical
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Semantic Segmentation of Pathological Lung Tissue With Dilated Fully Convolutional Networks.

IEEE journal of biomedical and health informatics Mar 26, 2018
Early and accurate diagnosis of interstitial lung diseases (ILDs) is crucial for making treatment decisions, but can be challenging even for experienced radiologists. The diagnostic procedure is based on the detection and recognition of the different...
Neural Networks, Computer Tomography, X-Ray Computed Lung Humans Semantics Supervised Machine Learning Lung Diseases, Interstitial Image Interpretation, Computer-Assisted
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High-Order Convolutional Neural Network Architecture for Predicting DNA-Protein Binding Sites.

IEEE/ACM transactions on computational biology and bioinformatics Mar 26, 2018
Although Deep learning algorithms have outperformed conventional methods in predicting the sequence specificities of DNA-protein binding, they lack to consider the dependencies among nucleotides and the diverse binding lengths for different transcrip...
Area Under Curve DNA Genomics Neural Networks, Computer DNA-Binding Proteins Computational Biology Algorithms Software Transcription Factors Protein Binding Binding Sites Amino Acid Motifs Chromatin Immunoprecipitation
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Intrinsically motivated reinforcement learning for human-robot interaction in the real-world.

Neural networks : the official journal of the International Neural Network Society Mar 26, 2018
For a natural social human-robot interaction, it is essential for a robot to learn the human-like social skills. However, learning such skills is notoriously hard due to the limited availability of direct instructions from people to teach a robot. In...
Social Skills Deep Learning User-Computer Interface Robotics Humans Neural Networks, Computer
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Deep learning in mammography and breast histology, an overview and future trends.

Medical image analysis Mar 26, 2018
Recent improvements in biomedical image analysis using deep learning based neural networks could be exploited to enhance the performance of Computer Aided Diagnosis (CAD) systems. Considering the importance of breast cancer worldwide and the promisin...
Sensitivity and Specificity Forecasting Breast Neoplasms Humans Deep Learning Diagnosis, Computer-Assisted Phenotype Neural Networks, Computer Female Mammography Algorithms Radiographic Image Interpretation, Computer-Assisted
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