AIMC Topic: Sensitivity and Specificity

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Convolutional Deep Belief Networks for Single-Cell/Object Tracking in Computational Biology and Computer Vision.

BioMed research international Oct 26, 2016
In this paper, we propose deep architecture to dynamically learn the most discriminative features from data for both single-cell and object tracking in computational biology and computer vision. Firstly, the discriminative features are automatically ...
Cell Tracking Humans Models, Statistical Data Interpretation, Statistical Neural Networks, Computer Microscopy Machine Learning Computer Simulation Image Interpretation, Computer-Assisted Image Enhancement Reproducibility of Results Sensitivity and Specificity Animals
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Using Self-Reliance Factors to Decide How to Share Control Between Human Powered Wheelchair Drivers and Ultrasonic Sensors.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Oct 25, 2016
A shared-control scheme for a powered wheelchair is presented. The wheelchair can be operated by a wheelchair driver using a joystick, or directed by a sensor system, or control can be combined between them. The wheelchair system can modify direction...
Personal Autonomy Equipment Design Motor Skills Equipment Failure Analysis Man-Machine Systems Wheelchairs Transducers Decision Making, Computer-Assisted Feedback Computer-Aided Design Humans Ultrasonography Reproducibility of Results Persons with Disabilities Sensitivity and Specificity Robotics
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Application of artificial neural network model combined with four biomarkers in auxiliary diagnosis of lung cancer.

Medical & biological engineering & computing Oct 20, 2016
The purpose of the study was to explore the application of artificial neural network model in the auxiliary diagnosis of lung cancer and compare the effects of back-propagation (BP) neural network with Fisher discrimination model for lung cancer scre...
Humans Middle Aged Neural Networks, Computer Female Diagnosis, Computer-Assisted Algorithms Lung Neoplasms Reproducibility of Results Pattern Recognition, Automated Sensitivity and Specificity Biomarkers, Tumor Male
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Bayesian Nonnegative CP Decomposition-Based Feature Extraction Algorithm for Drowsiness Detection.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Oct 19, 2016
Daytime short nap involves physiological processes, such as alertness, drowsiness and sleep. The study of the relationship between drowsiness and nap based on physiological signals is a great way to have a better understanding of the periodical rhyme...
Adult Sensitivity and Specificity Male Diagnosis, Computer-Assisted Models, Statistical Computer Simulation Female Reproducibility of Results Young Adult Polysomnography Sleep Stages Data Interpretation, Statistical Bayes Theorem Electroencephalography Pattern Recognition, Automated Humans Machine Learning Algorithms
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Image Segmentation and Machine Learning for Detection of Abdominal Free Fluid in Focused Assessment With Sonography for Trauma Examinations: A Pilot Study.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Oct 13, 2016
The objective of this pilot study was to test the feasibility of automating the detection of abdominal free fluid in focused assessment with sonography for trauma (FAST) examinations. Perihepatic views from 10 FAST examinations with positive results ...
Ultrasonography Image Processing, Computer-Assisted Abdomen Feasibility Studies Body Fluids Abdominal Injuries Humans Male Machine Learning Middle Aged Aged, 80 and over Retrospective Studies Pilot Projects Wounds, Nonpenetrating Young Adult Adolescent Female Adult Aged Sensitivity and Specificity
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Successful classification of cocaine dependence using brain imaging: a generalizable machine learning approach.

BMC bioinformatics Oct 6, 2016
BACKGROUND: Neuroimaging studies have yielded significant advances in the understanding of neural processes relevant to the development and persistence of addiction. However, these advances have not explored extensively for diagnostic accuracy in hum...
Humans Algorithms Brain Cocaine-Related Disorders Male Middle Aged Female Support Vector Machine Young Adult Cluster Analysis Adult Neuroimaging Sensitivity and Specificity
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Computer-aided diagnosis system for lung nodules based on computed tomography using shape analysis, a genetic algorithm, and SVM.

Medical & biological engineering & computing Oct 3, 2016
Lung cancer is the major cause of death among patients with cancer worldwide. This work is intended to develop a methodology for the diagnosis of lung nodules using images from the Image Database Consortium and Image Database Resource Initiative (LID...
Humans Algorithms Tomography, X-Ray Computed Female Reproducibility of Results Support Vector Machine Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Pattern Recognition, Automated Radiographic Image Enhancement Sensitivity and Specificity Male Middle Aged Models, Genetic
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System Integration and In Vivo Testing of a Robot for Ultrasound Guidance and Monitoring During Radiotherapy.

IEEE transactions on bio-medical engineering Oct 3, 2016
We are developing a cooperatively controlled robot system for image-guided radiation therapy (IGRT) in which a clinician and robot share control of a 3-D ultrasound (US) probe. IGRT involves two main steps: 1) planning/simulation and 2) treatment del...
Humans Radiotherapy, Image-Guided Man-Machine Systems Systems Integration Equipment Design Reproducibility of Results Ultrasonography, Interventional Sensitivity and Specificity Dogs Animals Radiotherapy, Conformal Robotics Equipment Failure Analysis
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Outcome Prediction for Patient with High-Grade Gliomas from Brain Functional and Structural Networks.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention Oct 2, 2016
High-grade glioma (HGG) is a lethal cancer, which is characterized by very poor prognosis. To help optimize treatment strategy, accurate preoperative prediction of HGG patient's outcome (i.e., survival time) is of great clinical value. However, there...
Treatment Outcome Glioma Magnetic Resonance Imaging Neoplasm Grading Connectome Diffusion Tensor Imaging Life Expectancy Humans Retrospective Studies Machine Learning Reproducibility of Results Algorithms Sensitivity and Specificity Brain Brain Neoplasms
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Feature Selection Based on Iterative Canonical Correlation Analysis for Automatic Diagnosis of Parkinson's Disease.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention Oct 2, 2016
Parkinson's disease (PD) is a major progressive neurodegenerative disorder. Accurate diagnosis of PD is crucial to control the symptoms appropriately. However, its clinical diagnosis mostly relies on the subjective judgment of physicians and the clin...
Parkinson Disease Humans Neuroimaging Algorithms Brain Reproducibility of Results Sensitivity and Specificity Magnetic Resonance Imaging
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