AIMC Topic: Humans

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One-shot domain adaptation in multiple sclerosis lesion segmentation using convolutional neural networks.

NeuroImage. Clinical Dec 10, 2018
In recent years, several convolutional neural network (CNN) methods have been proposed for the automated white matter lesion segmentation of multiple sclerosis (MS) patient images, due to their superior performance compared with those of other state-...
Magnetic Resonance Imaging Multiple Sclerosis Databases, Factual Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Deep Learning in Cardiology.

IEEE reviews in biomedical engineering Dec 10, 2018
The medical field is creating large amount of data that physicians are unable to decipher and use efficiently. Moreover, rule-based expert systems are inefficient in solving complicated medical tasks or for creating insights using big data. Deep lear...
Humans Machine Learning Big Data Heart Diseases Cardiology Physicians Deep Learning
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Incorporating automatically learned pulmonary nodule attributes into a convolutional neural network to improve accuracy of benign-malignant nodule classification.

Physics in medicine and biology Dec 10, 2018
Existing deep-learning-based pulmonary nodule classification models usually use images and benign-malignant labels as inputs for training. Image attributes of the nodules, as human-nameable high-level semantic labels, are rarely used to build a convo...
Humans Deep Learning Lung Neoplasms Solitary Pulmonary Nodule Algorithms Tomography, X-Ray Computed
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Identifying disease genes using machine learning and gene functional similarities, assessed through Gene Ontology.

PloS one Dec 10, 2018
Identifying disease genes from a vast amount of genetic data is one of the most challenging tasks in the post-genomic era. Also, complex diseases present highly heterogeneous genotype, which difficult biological marker identification. Machine learnin...
ROC Curve Area Under Curve Attention Deficit Disorder with Hyperactivity Gene Ontology Phenotype Humans Autism Spectrum Disorder Machine Learning User-Computer Interface
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Proprioceptive Recognition with Artificial Neural Networks Based on Organizations of Spinocerebellar Tract and Cerebellum.

International journal of neural systems Dec 9, 2018
Muscle kinematics and kinetics are nonlinearly encoded by proprioceptors, and the changes in muscle length and velocity are integrated into Ia afferent. Besides, proprioceptive signals from multiple muscles are probably mixed in afferent pathways, wh...
Humans Pattern Recognition, Physiological Spinocerebellar Tracts Cerebellum Movement Proprioception Neural Networks, Computer Muscle, Skeletal
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Seasonal Variation in Essential Oils Composition and the Biological and Pharmaceutical Protective Effects of Leaves Grown in Tunisia.

BioMed research international Dec 9, 2018
This research assessed the seasonal variation of the chemical composition and antibacterial and anticholinesterase activities of essential oils extracted from leaves. The leaves organic fractions were also investigated for their biological activitie...
Alzheimer Disease Bacteria Mentha Rats, Wistar Flavonoids Neuroprotective Agents Animals Humans Tunisia Plant Leaves Seasons Anti-Bacterial Agents Oils, Volatile Rats
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Recent Advances in Brain Signal Analysis: Methods and Applications 2018.

Computational intelligence and neuroscience Dec 9, 2018
Brain Brain Mapping Brain-Computer Interfaces Humans Artificial Intelligence
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Identification of tissue-specific tumor biomarker using different optimization algorithms.

Genes & genomics Dec 8, 2018
BACKGROUND: Identification of differentially expressed genes, i.e., genes whose transcript abundance level differs across different biological or physiological conditions, was indeed a challenging task. However, the inception of transcriptome sequenc...
Organ Specificity Transcriptome Gene Expression Regulation, Neoplastic Machine Learning Humans Biomarkers, Tumor
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Feature selection and tumor classification for microarray data using relaxed Lasso and generalized multi-class support vector machine.

Journal of theoretical biology Dec 8, 2018
At present, the study of gene expression data provides a reference for tumor diagnosis at the molecular level. It is a challenging task to select the feature genes related to the classification from the high-dimensional and small-sample gene expressi...
Datasets as Topic Oligonucleotide Array Sequence Analysis Neoplasms Humans Gene Expression Profiling Software Support Vector Machine
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A deep learning framework for unsupervised affine and deformable image registration.

Medical image analysis Dec 8, 2018
Image registration, the process of aligning two or more images, is the core technique of many (semi-)automatic medical image analysis tasks. Recent studies have shown that deep learning methods, notably convolutional neural networks (ConvNets), can b...
Heart Diseases Radiography, Thoracic Magnetic Resonance Imaging, Cine Image Processing, Computer-Assisted Unsupervised Machine Learning Deep Learning Imaging, Three-Dimensional Neural Networks, Computer Tomography, X-Ray Computed Humans
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