AIMC Topic: Pattern Recognition, Automated
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Personalised modelling with spiking neural networks integrating temporal and static information.
Neural networks : the official journal of the International Neural Network Society
Aug 14, 2019
This paper proposes a new personalised prognostic/diagnostic system that supports classification, prediction and pattern recognition when both static and dynamic/spatiotemporal features are presented in a dataset. The system is based on a proposed cl...
An interpretable natural language processing system for written medical examination assessment.
Journal of biomedical informatics
Aug 14, 2019
OBJECTIVE: The assessment of written medical examinations is a tedious and expensive process, requiring significant amounts of time from medical experts. Our objective was to develop a natural language processing (NLP) system that can expedite the as...
Licensure, Medical
Schools, Medical
Unified Medical Language System
Medical Records
Data Curation
Educational Measurement
Fuzzy Logic
Natural Language Processing
Data Collection
Education, Medical
Pattern Recognition, Automated
Algorithms
Reproducibility of Results
Clinical Competence
Humans
Software
Fully automatic catheter segmentation in MRI with 3D convolutional neural networks: application to MRI-guided gynecologic brachytherapy.
Physics in medicine and biology
Aug 14, 2019
External-beam radiotherapy followed by high dose rate (HDR) brachytherapy is the standard-of-care for treating gynecologic cancers. The enhanced soft-tissue contrast provided by magnetic resonance imaging (MRI) makes it a valuable imaging modality fo...
An automatic behavior recognition system classifies animal behaviors using movements and their temporal context.
Journal of neuroscience methods
Aug 12, 2019
Animals can perform complex and purposeful behaviors by executing simpler movements in flexible sequences. It is particularly challenging to analyze behavior sequences when they are highly variable, as is the case in language production, certain type...
Automatic diagnosis of fungal keratitis using data augmentation and image fusion with deep convolutional neural network.
Computer methods and programs in biomedicine
Aug 9, 2019
BACKGROUND AND OBJECTIVES: Fungal keratitis is caused by inflammation of the cornea that results from infection by fungal organisms. The lack of an early effective diagnosis often results in serious complications even blindness. Confocal microscopy i...
Recognition of peripheral blood cell images using convolutional neural networks.
Computer methods and programs in biomedicine
Aug 9, 2019
BACKGROUND AND OBJECTIVES: Morphological analysis is the starting point for the diagnostic approach of more than 80% of hematological diseases. However, the morphological differentiation among different types of normal and abnormal peripheral blood c...
Selective Ensemble Based on Extreme Learning Machine for Sensor-Based Human Activity Recognition.
Sensors (Basel, Switzerland)
Aug 8, 2019
Sensor-based human activity recognition (HAR) has attracted interest both in academic and applied fields, and can be utilized in health-related areas, fitness, sports training, etc. With a view to improving the performance of sensor-based HAR and opt...
Episodic Memory in Minicolumn Associative Knowledge Graphs.
IEEE transactions on neural networks and learning systems
Aug 5, 2019
A generalization of active neural associative knowledge graphs (ANAKGs) to their minicolumn form is presented in this paper. Each minicolumn represents a single symbol, and the activation of an individual neuron in a minicolumn depends on the context...
Detecting drug-drug interactions using artificial neural networks and classic graph similarity measures.
PloS one
Aug 1, 2019
Drug-drug interactions are preventable causes of medical injuries and often result in doctor and emergency room visits. Computational techniques can be used to predict potential drug-drug interactions. We approach the drug-drug interaction prediction...
Automated lesion segmentation with BIANCA: Impact of population-level features, classification algorithm and locally adaptive thresholding.
NeuroImage
Jul 31, 2019
White matter hyperintensities (WMH) or white matter lesions exhibit high variability in their characteristics both at population- and subject-level, making their detection a challenging task. Population-level factors such as age, vascular risk factor...
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