AIMC Topic: Sensitivity and Specificity

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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...
Middle Aged Diagnosis, Computer-Assisted Lung Neoplasms Pattern Recognition, Automated Female Humans Sensitivity and Specificity Reproducibility of Results Neural Networks, Computer Biomarkers, Tumor Algorithms 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...
Male Diagnosis, Computer-Assisted Models, Statistical Data Interpretation, Statistical Reproducibility of Results Young Adult Adult Sensitivity and Specificity Sleep Stages Bayes Theorem Electroencephalography Pattern Recognition, Automated Polysomnography Algorithms Computer Simulation Female Humans Machine Learning
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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 ...
Abdomen Feasibility Studies Body Fluids Abdominal Injuries Pilot Projects Adolescent Ultrasonography Image Processing, Computer-Assisted Adult Sensitivity and Specificity Male Middle Aged Humans Machine Learning Retrospective Studies Aged Wounds, Nonpenetrating Aged, 80 and over Female Young Adult
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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 Female Cocaine-Related Disorders Middle Aged Young Adult Support Vector Machine Adult Cluster Analysis Sensitivity and Specificity Neuroimaging Male
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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 Sensitivity and Specificity Radiographic Image Interpretation, Computer-Assisted Pattern Recognition, Automated Male Radiographic Image Enhancement 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 Reproducibility of Results Sensitivity and Specificity Systems Integration Dogs Animals Equipment Failure Analysis Radiotherapy, Conformal Radiotherapy, Image-Guided Robotics Man-Machine Systems Equipment Design Ultrasonography, Interventional
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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 Life Expectancy Connectome Retrospective Studies Humans Reproducibility of Results Machine Learning Diffusion Tensor Imaging Sensitivity and Specificity Algorithms Brain Neoplasms Brain
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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 Neuroimaging Brain Reproducibility of Results Sensitivity and Specificity Humans Magnetic Resonance Imaging Algorithms
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3D Deep Learning for Multi-modal Imaging-Guided Survival Time Prediction of Brain Tumor Patients.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention Oct 2, 2016
High-grade glioma is the most aggressive and severe brain tumor that leads to death of almost 50% patients in 1-2 years. Thus, accurate prognosis for glioma patients would provide essential guidelines for their treatment planning. Conventional surviv...
Multimodal Imaging Humans Neural Networks, Computer Neoplasm Grading Sensitivity and Specificity Deep Learning Algorithms Life Expectancy Glioma Brain Neoplasms Brain Magnetic Resonance Imaging Prognosis Reproducibility of Results
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Early Diagnosis of Alzheimer's Disease by Joint Feature Selection and Classification on Temporally Structured Support Vector Machine.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention Oct 2, 2016
The diagnosis of Alzheimer's disease (AD) from neuroimaging data at the pre-clinical stage has been intensively investigated because of the immense social and economic cost. In the past decade, computational approaches on longitudinal image sequences...
Disease Progression Cognitive Dysfunction Support Vector Machine Magnetic Resonance Imaging Alzheimer Disease Early Diagnosis Algorithms Brain Reproducibility of Results Sensitivity and Specificity Humans
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