AIMC Topic: Algorithms

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A pruning feedforward small-world neural network based on Katz centrality for nonlinear system modeling.

Neural networks : the official journal of the International Neural Network Society Jul 16, 2020
Approaching to the biological neural network, small-world neural networks have been demonstrated to improve the generalization performance of artificial neural networks. However, the architecture of small-world neural networks is typically large and ...
Neurons Nonlinear Dynamics Neural Networks, Computer Algorithms
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Automatic needle tracking using Mask R-CNN for MRI-guided percutaneous interventions.

International journal of computer assisted radiology and surgery Jul 16, 2020
PURPOSE: Accurate needle tracking provides essential information for MRI-guided percutaneous interventions. Passive needle tracking using MR images is challenged by variations of the needle-induced signal void feature in different situations. This wo...
Image-Guided Biopsy Algorithms Male Prostate Needles Magnetic Resonance Imaging Humans Neural Networks, Computer
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Automatic CT image segmentation of maxillary sinus based on VGG network and improved V-Net.

International journal of computer assisted radiology and surgery Jul 16, 2020
PURPOSE: The analysis of the maxillary sinus (MS) can provide an assessment for many clinical diagnoses, so accurate CT image segmentation of the MS is essential. However, common segmentation methods are mainly done by experienced doctors manually, a...
Maxillary Sinus Pattern Recognition, Automated False Positive Reactions Reproducibility of Results Neural Networks, Computer Image Processing, Computer-Assisted Diagnosis, Computer-Assisted Humans Imaging, Three-Dimensional Tomography, X-Ray Computed Software Models, Statistical Algorithms
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Manual segmentation versus semi-automated segmentation for quantifying vestibular schwannoma volume on MRI.

International journal of computer assisted radiology and surgery Jul 16, 2020
PURPOSE: Management of vestibular schwannoma (VS) is based on tumour size as observed on T1 MRI scans with contrast agent injection. The current clinical practice is to measure the diameter of the tumour in its largest dimension. It has been shown th...
Machine Learning Software Algorithms Humans Image Processing, Computer-Assisted Contrast Media Magnetic Resonance Imaging Reproducibility of Results Diagnosis, Computer-Assisted Neuroimaging Neurilemmoma Automation Neuroma, Acoustic Pattern Recognition, Automated
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Multi-class motor imagery EEG classification using collaborative representation-based semi-supervised extreme learning machine.

Medical & biological engineering & computing Jul 16, 2020
Both labeled and unlabeled data have been widely used in electroencephalographic (EEG)-based brain-computer interface (BCI). However, labeled EEG samples are generally scarce and expensive to collect, while unlabeled samples are considered to be abun...
Benchmarking Supervised Machine Learning Brain-Computer Interfaces Least-Squares Analysis Electroencephalography Humans Neural Networks, Computer Databases, Factual Biomedical Engineering Algorithms Support Vector Machine Imagination
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Exploiting defective RRAM array as synapses of HTM spatial pooler with boost-factor adjustment scheme for defect-tolerant neuromorphic systems.

Scientific reports Jul 16, 2020
A crossbar array architecture employing resistive switching memory (RRAM) as a synaptic element accelerates vector-matrix multiplication in a parallel fashion, enabling energy-efficient pattern recognition. To implement the function of the synapse in...
Neocortex Humans Transistors, Electronic Algorithms Pattern Recognition, Automated Computer Simulation Data Management Data Accuracy Memory Neural Networks, Computer Synapses Software
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Deep user identification model with multiple biometric data.

BMC bioinformatics Jul 16, 2020
BACKGROUND: Recognition is an essential function of human beings. Humans easily recognize a person using various inputs such as voice, face, or gesture. In this study, we mainly focus on DL model with multi-modality which has many benefits including ...
Humans Deep Learning Electrocardiography Algorithms Biometry
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Leveraging Multimodal Deep Learning Architecture with Retina Lesion Information to Detect Diabetic Retinopathy.

Translational vision science & technology Jul 16, 2020
PURPOSE: To improve disease severity classification from fundus images using a hybrid architecture with symptom awareness for diabetic retinopathy (DR).
Algorithms Diabetes Mellitus Humans ROC Curve Fundus Oculi Deep Learning Diabetic Retinopathy
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Optimization of Skewed Data Using Sampling-Based Preprocessing Approach.

Frontiers in public health Jul 16, 2020
In the past few years, classification has undergone some major evolution. With a constant surge of the amount of data gathered from different sources, efficient processing and analysis of data is becoming difficult. Due to the uneven distribution of ...
Cluster Analysis Machine Learning Algorithms
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Exploring the Privacy-Preserving Properties of Word Embeddings: Algorithmic Validation Study.

Journal of medical Internet research Jul 15, 2020
BACKGROUND: Word embeddings are dense numeric vectors used to represent language in neural networks. Until recently, there had been no publicly released embeddings trained on clinical data. Our work is the first to study the privacy implications of r...
Algorithms Natural Language Processing Confidentiality Humans
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