AIMC Topic: Sensitivity and Specificity

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A Magnetic Resonance Compatible Soft Wearable Robotic Glove for Hand Rehabilitation and Brain Imaging.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 25, 2016
In this paper, we present the design, fabrication and evaluation of a soft wearable robotic glove, which can be used with functional Magnetic Resonance imaging (fMRI) during the hand rehabilitation and task specific training. The soft wearable roboti...
Neurological Rehabilitation Elastic Modulus Magnetic Resonance Imaging Brain Mapping Robotics Equipment Design Brain-Computer Interfaces Equipment Failure Analysis Exoskeleton Device Hand Artificial Limbs Humans Brain Reproducibility of Results Sensitivity and Specificity
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A Mass Spectrometric Analysis Method Based on PPCA and SVM for Early Detection of Ovarian Cancer.

Computational and mathematical methods in medicine Aug 23, 2016
Background. Surfaced-enhanced laser desorption-ionization-time of flight mass spectrometry (SELDI-TOF-MS) technology plays an important role in the early diagnosis of ovarian cancer. However, the raw MS data is highly dimensional and redundant. There...
Early Detection of Cancer Humans Ovarian Neoplasms Female Principal Component Analysis ROC Curve Reproducibility of Results Image Processing, Computer-Assisted Sensitivity and Specificity Support Vector Machine Mass Spectrometry
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Robust Wavelet Stabilized 'Footprints of Uncertainty' for Fuzzy System Classifiers to Automatically Detect Sharp Waves in the EEG after Hypoxia Ischemia.

International journal of neural systems Aug 18, 2016
Currently, there are no developed methods to detect sharp wave transients that exist in the latent phase after hypoxia-ischemia (HI) in the electroencephalogram (EEG) in order to determine if these micro-scale transients are potential biomarkers of H...
Fuzzy Logic Disease Models, Animal Electroencephalography Brain Ischemia Prenatal Diagnosis Uncertainty Fetal Hypoxia Wavelet Analysis Sheep, Domestic Female Sensitivity and Specificity Animals Cohort Studies Machine Learning Pregnancy
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Using Anatomic Intelligence to Localize Mitral Valve Prolapse on Three-Dimensional Echocardiography.

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography Aug 18, 2016
BACKGROUND: Accurate localization of mitral valve prolapse (MVP) is crucial for surgical planning. Despite improved visualization of the mitral valve by three-dimensional transesophageal echocardiography, image interpretation remains expertise depend...
Reproducibility of Results Sensitivity and Specificity Male Middle Aged Humans Machine Learning Algorithms Female Echocardiography, Three-Dimensional Image Interpretation, Computer-Assisted Pattern Recognition, Automated Image Enhancement Mitral Valve Prolapse
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Network or regression-based methods for disease discrimination: a comparison study.

BMC medical research methodology Aug 18, 2016
BACKGROUND: In stark contrast to network-centric view for complex disease, regression-based methods are preferred in disease prediction, especially for epidemiologists and clinical professionals. It remains a controversy whether the network-based met...
Bayes Theorem Outcome Assessment, Health Care Sensitivity and Specificity Logistic Models Regression Analysis Diagnosis, Differential Neural Networks, Computer Computer Simulation Reproducibility of Results Humans
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Automatic Liver Segmentation from CT Images Using Single-Block Linear Detection.

BioMed research international Aug 18, 2016
Automatic liver segmentation not only plays an important role in the analysis of liver disease, but also reduces the cost and humanity's impact in segmentation. In addition, liver segmentation is a very challenging task due to countless anatomical va...
Computer Simulation Humans Linear Models Machine Learning Sensitivity and Specificity Tomography, X-Ray Computed Algorithms Liver Neoplasms Pattern Recognition, Automated Reproducibility of Results Liver Radiographic Image Interpretation, Computer-Assisted
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A Deep Learning Scheme for Motor Imagery Classification based on Restricted Boltzmann Machines.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 17, 2016
Motor imagery classification is an important topic in brain-computer interface (BCI) research that enables the recognition of a subject's intension to, e.g., implement prosthesis control. The brain dynamics of motor imagery are usually measured by el...
Humans Neural Networks, Computer Machine Learning Algorithms Movement Fourier Analysis Evoked Potentials, Motor Motor Cortex Signal Processing, Computer-Assisted Intention Imagination Pattern Recognition, Automated Brain-Computer Interfaces Reproducibility of Results Sensitivity and Specificity Brain Mapping Electroencephalography
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Liver Tumor Segmentation from MR Images Using 3D Fast Marching Algorithm and Single Hidden Layer Feedforward Neural Network.

BioMed research international Aug 14, 2016
Objective. Our objective is to develop a computerized scheme for liver tumor segmentation in MR images. Materials and Methods. Our proposed scheme consists of four main stages. Firstly, the region of interest (ROI) image which contains the liver tumo...
Humans Neural Networks, Computer Liver Neoplasms Machine Learning Image Interpretation, Computer-Assisted Imaging, Three-Dimensional Algorithms Pattern Recognition, Automated Reproducibility of Results Image Enhancement Sensitivity and Specificity
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Unsupervised delineation of stratum corneum using reflectance confocal microscopy and spectral clustering.

Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) Aug 12, 2016
BACKGROUND: Measuring the thickness of the stratum corneum (SC) in vivo is often required in pharmacological, dermatological, and cosmetological studies. Reflectance confocal microscopy (RCM) offers a non-invasive imaging-based approach. However, RCM...
Humans Dermoscopy Reproducibility of Results Observer Variation Pattern Recognition, Automated Skin Aging Sensitivity and Specificity Epidermal Cells Microscopy, Confocal Microscopy, Interference Unsupervised Machine Learning Image Interpretation, Computer-Assisted
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Development of Health Parameter Model for Risk Prediction of CVD Using SVM.

Computational and mathematical methods in medicine Aug 9, 2016
Current methods of cardiovascular risk assessment are performed using health factors which are often based on the Framingham study. However, these methods have significant limitations due to their poor sensitivity and specificity. We have compared th...
Cardiovascular Diseases Middle Aged Risk Assessment Cohort Studies Support Vector Machine Australia Regression Analysis ROC Curve Genetic Predisposition to Disease Female Aged Sensitivity and Specificity Male Humans Machine Learning Algorithms Databases, Factual Outcome Assessment, Health Care Linear Models Pattern Recognition, Automated Eye
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