AIMC Topic: Algorithms

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Psoriasis skin biopsy image segmentation using Deep Convolutional Neural Network.

Computer methods and programs in biomedicine Feb 6, 2018
BACKGROUND AND OBJECTIVE: Development of machine assisted tools for automatic analysis of psoriasis skin biopsy image plays an important role in clinical assistance. Development of automatic approach for accurate segmentation of psoriasis skin biopsy...
Color Neural Networks, Computer Biopsy Algorithms Skin Databases, Factual Dermis Humans Epidermis Cluster Analysis Reproducibility of Results Psoriasis Image Processing, Computer-Assisted Models, Statistical Support Vector Machine
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A novel biomedical image indexing and retrieval system via deep preference learning.

Computer methods and programs in biomedicine Feb 6, 2018
BACKGROUND AND OBJECTIVES: The traditional biomedical image retrieval methods as well as content-based image retrieval (CBIR) methods originally designed for non-biomedical images either only consider using pixel and low-level features to describe an...
Humans Information Storage and Retrieval Radiology Information Systems Databases, Factual Neural Networks, Computer Machine Learning Image Processing, Computer-Assisted Algorithms Diagnostic Imaging
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Generalized backpropagation algorithm for training second-order neural networks.

International journal for numerical methods in biomedical engineering Feb 6, 2018
The artificial neural network is a popular framework in machine learning. To empower individual neurons, we recently suggested that the current type of neurons could be upgraded to second-order counterparts, in which the linear operation between inpu...
Fuzzy Logic Neural Networks, Computer Machine Learning Algorithms
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A fuzzy logic control in adjustable autonomy of a multi-agent system for an automated elderly movement monitoring application.

International journal of medical informatics Feb 6, 2018
Autonomous agents are being widely used in many systems, such as ambient assisted-living systems, to perform tasks on behalf of humans. However, these systems usually operate in complex environments that entail uncertain, highly dynamic, or irregular...
Movement Fuzzy Logic Monitoring, Physiologic Pattern Recognition, Automated Humans Aged Models, Theoretical Algorithms Computer Simulation
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Electrophysiological Muscle Classification Using Multiple Instance Learning and Unsupervised Time and Spectral Domain Analysis.

IEEE transactions on bio-medical engineering Feb 5, 2018
OBJECTIVE: Electrophysiological muscle classification (EMC) is a crucial step in the diagnosis of neuromuscular disorders. Existing quantitative techniques are not sufficiently robust and accurate to be reliably clinically used. Here, EMC is modeled ...
Unsupervised Machine Learning Humans Entropy Adult Aged Algorithms Electromyography Electrophysiological Phenomena Middle Aged Aged, 80 and over Wavelet Analysis Muscle, Skeletal Young Adult
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Chemogenomic Active Learning's Domain of Applicability on Small, Sparse qHTS Matrices: A Study Using Cytochrome P450 and Nuclear Hormone Receptor Families.

ChemMedChem Feb 5, 2018
Computational models for predicting the activity of small molecules against targets are now routinely developed and used in academia and industry, partially due to public bioactivity databases. While models based on bigger datasets are the trend, rec...
Humans Machine Learning Cytochrome P-450 Enzyme System Receptors, Cytoplasmic and Nuclear Small Molecule Libraries Cytochrome P-450 Enzyme Inhibitors Algorithms Databases, Factual Ligands
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Deep learning with domain adaptation for accelerated projection-reconstruction MR.

Magnetic resonance in medicine Feb 4, 2018
Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Neural Networks, Computer Algorithms Liver Software Tomography, X-Ray Computed Reproducibility of Results Healthy Volunteers Fourier Analysis
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Boosted neural networks scoring functions for accurate ligand docking and ranking.

Journal of bioinformatics and computational biology Feb 4, 2018
Predicting the native poses of ligands correctly is one of the most important steps towards successful structure-based drug design. Binding affinities (BAs) estimated by traditional scoring functions (SFs) are typically used to score and rank-order p...
tRNA Methyltransferases Structure-Activity Relationship Ligands Escherichia coli Proteins Algorithms Molecular Docking Simulation Drug Design Protein Binding Proteins Databases, Protein Neural Networks, Computer Machine Learning
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Developing robust arsenic awareness prediction models using machine learning algorithms.

Journal of environmental management Feb 4, 2018
Arsenic awareness plays a vital role in ensuring the sustainability of arsenic mitigation technologies. Thus far, however, few studies have dealt with the sustainability of such technologies and its associated socioeconomic dimensions. As a result, a...
Humans Machine Learning Bayes Theorem Arsenic Environmental Pollutants Algorithms India Support Vector Machine
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Outlier Removal in Model-Based Missing Value Imputation for Medical Datasets.

Journal of healthcare engineering Feb 4, 2018
Many real-world medical datasets contain some proportion of missing (attribute) values. In general, missing value imputation can be performed to solve this problem, which is to provide estimations for the missing values by a reasoning process based o...
Medical Records Humans Databases, Factual Machine Learning Biomedical Research Algorithms Pattern Recognition, Automated
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