AIMC Topic: Pattern Recognition, Automated

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Detection of white matter lesion regions in MRI using SLIC0 and convolutional neural network.

Computer methods and programs in biomedicine Apr 19, 2018
BACKGROUND AND OBJECTIVE: White matter lesions are non-static brain lesions that have a prevalence rate up to 98% in the elderly population. Because they may be associated with several brain diseases, it is important that they are detected as soon as...
Prevalence Diagnosis, Computer-Assisted Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Pattern Recognition, Automated False Positive Reactions White Matter Databases, Factual Brain Reproducibility of Results Sensitivity and Specificity Humans Neural Networks, Computer Algorithms
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Phenotypic Clustering of Left Ventricular Diastolic Function Parameters: Patterns and Prognostic Relevance.

JACC. Cardiovascular imaging Apr 18, 2018
OBJECTIVES: This study sought to explore the natural clustering of echocardiographic variables used for assessing left ventricular (LV) diastolic dysfunction (DD) in order to isolate high-risk phenotypic patterns and assess their prognostic significa...
Female Risk Factors Hospitalization Aged Humans Machine Learning Phenotype Retrospective Studies Risk Assessment Disease Progression Cluster Analysis Predictive Value of Tests Cause of Death Aged, 80 and over Male Ventricular Function, Left Middle Aged Pattern Recognition, Automated Diastole Echocardiography, Doppler, Color Echocardiography, Doppler, Pulsed Heart Ventricles Progression-Free Survival Ventricular Dysfunction, Left Image Interpretation, Computer-Assisted
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Computer-aided diagnosis of prostate cancer using a deep convolutional neural network from multiparametric MRI.

Journal of magnetic resonance imaging : JMRI Apr 16, 2018
BACKGROUND: Deep learning is the most promising methodology for automatic computer-aided diagnosis of prostate cancer (PCa) with multiparametric MRI (mp-MRI).
Databases, Factual Retrospective Studies Reproducibility of Results Sensitivity and Specificity Humans Neural Networks, Computer Software Predictive Value of Tests Area Under Curve Prostatic Neoplasms Pattern Recognition, Automated Diffusion Magnetic Resonance Imaging Male Diagnosis, Computer-Assisted Deep Learning ROC Curve
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Visual Kinship Recognition of Families in the Wild.

IEEE transactions on pattern analysis and machine intelligence Apr 13, 2018
We present the largest database for visual kinship recognition, Families In the Wild (FIW), with over 13,000 family photos of 1,000 family trees with 4-to-38 members. It took only a small team to build FIW with efficient labeling tools and work-flow....
Pattern Recognition, Automated Family Photography Family Relations Family Characteristics Cluster Analysis Supervised Machine Learning Humans Face Neural Networks, Computer Databases, Factual Algorithms Female Male Deep Learning
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Structural inference embedded adversarial networks for scene parsing.

PloS one Apr 12, 2018
Explicit structural inference is one key point to improve the accuracy of scene parsing. Meanwhile, adversarial training method is able to reinforce spatial contiguity in output segmentations. To take both advantages of the structural learning and ad...
Pattern Recognition, Automated User-Computer Interface Neural Networks, Computer Imaging, Three-Dimensional Machine Learning Software Image Processing, Computer-Assisted Algorithms Models, Statistical
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Low-Complexity Approximate Convolutional Neural Networks.

IEEE transactions on neural networks and learning systems Apr 10, 2018
In this paper, we present an approach for minimizing the computational complexity of the trained convolutional neural networks (ConvNets). The idea is to approximate all elements of a given ConvNet and replace the original convolutional filters and p...
Humans Neural Networks, Computer Algorithms Signal Processing, Computer-Assisted Linear Models Pattern Recognition, Automated
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Spiking neural networks for handwritten digit recognition-Supervised learning and network optimization.

Neural networks : the official journal of the International Neural Network Society Apr 6, 2018
We demonstrate supervised learning in Spiking Neural Networks (SNNs) for the problem of handwritten digit recognition using the spike triggered Normalized Approximate Descent (NormAD) algorithm. Our network that employs neurons operating at sparse bi...
Handwriting Neurons Humans Learning Pattern Recognition, Automated Neural Networks, Computer Supervised Machine Learning Memory Algorithms Databases, Factual
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Transfer Learning for Molecular Cancer Classification Using Deep Neural Networks.

IEEE/ACM transactions on computational biology and bioinformatics Apr 4, 2018
The emergence of deep learning has impacted numerous machine learning based applications and research. The reason for its success lies in two main advantages: 1) it provides the ability to learn very complex non-linear relationships between features ...
Gene Expression Regulation Transcriptome Area Under Curve Humans Software Computational Biology Diagnosis, Computer-Assisted Neural Networks, Computer Algorithms Models, Statistical Deep Learning Neoplasms Genomics Gene Expression Profiling Linear Models Pattern Recognition, Automated
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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...
Pattern Recognition, Automated Humans Computed Tomography Angiography Neural Networks, Computer Aortic Aneurysm, Abdominal Contrast Media Radiographic Image Interpretation, Computer-Assisted Thrombosis Artifacts
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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...
Machine Learning Algorithms Research Design Models, Statistical Natural Language Processing Pattern Recognition, Automated Humans Drug Interactions False Positive Reactions Neural Networks, Computer Data Mining Medical Informatics
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