AIMC Topic: Sensitivity and Specificity

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Spatial Clockwork Recurrent Neural Network for Muscle Perimysium Segmentation.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention Oct 2, 2016
Accurate segmentation of perimysium plays an important role in early diagnosis of many muscle diseases because many diseases contain different perimysium inflammation. However, it remains as a challenging task due to the complex appearance of the per...
Humans Neural Networks, Computer Muscle Fibers, Skeletal Algorithms Reproducibility of Results Sensitivity and Specificity Muscle, Skeletal
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Pancreas Segmentation in MRI using Graph-Based Decision Fusion on Convolutional Neural Networks.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention Oct 2, 2016
Automated pancreas segmentation in medical images is a prerequisite for many clinical applications, such as diabetes inspection, pancreatic cancer diagnosis, and surgical planing. In this paper, we formulate pancreas segmentation in magnetic resonanc...
Reproducibility of Results Sensitivity and Specificity Magnetic Resonance Imaging Pancreas Humans Neural Networks, Computer Algorithms
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A Hybrid Multishape Learning Framework for Longitudinal Prediction of Cortical Surfaces and Fiber Tracts Using Neonatal Data.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention Oct 2, 2016
Dramatic changes of the human brain during the first year of postnatal development are poorly understood due to their multifold complexity. In this paper, we present the first attempt to jointly predict, using neonatal data, the dynamic growth patter...
Cerebral Cortex Sensitivity and Specificity Infant Functional Neuroimaging Imaging, Three-Dimensional Algorithms Infant, Newborn Reproducibility of Results Humans Machine Learning
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Diagnosis of Alzheimer's Disease Using View-Aligned Hypergraph Learning with Incomplete Multi-modality Data.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention Oct 2, 2016
Effectively utilizing incomplete multi-modality data for diagnosis of Alzheimer's disease (AD) is still an area of active research. Several multi-view learning methods have recently been developed to deal with missing data, with each view correspondi...
Humans Machine Learning Algorithms Databases, Factual Magnetic Resonance Imaging Multimodal Imaging Area Under Curve Alzheimer Disease Positron-Emission Tomography Reproducibility of Results Sensitivity and Specificity Disease Progression Cognitive Dysfunction
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Multilevel Contextual 3-D CNNs for False Positive Reduction in Pulmonary Nodule Detection.

IEEE transactions on bio-medical engineering Sep 26, 2016
OBJECTIVE: False positive reduction is one of the most crucial components in an automated pulmonary nodule detection system, which plays an important role in lung cancer diagnosis and early treatment. The objective of this paper is to effectively add...
Neural Networks, Computer Machine Learning Algorithms Humans False Positive Reactions Imaging, Three-Dimensional Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Pattern Recognition, Automated Tomography, X-Ray Computed Reproducibility of Results Sensitivity and Specificity Diagnostic Errors
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Novel Use of Natural Language Processing (NLP) to Predict Suicidal Ideation and Psychiatric Symptoms in a Text-Based Mental Health Intervention in Madrid.

Computational and mathematical methods in medicine Sep 26, 2016
Natural language processing (NLP) and machine learning were used to predict suicidal ideation and heightened psychiatric symptoms among adults recently discharged from psychiatric inpatient or emergency room settings in Madrid, Spain. Participants re...
Telemedicine Spain Self-Injurious Behavior Text Messaging Mental Health Services Predictive Value of Tests Natural Language Processing Patient Discharge Reminder Systems Hospitals, Psychiatric Adult Sensitivity and Specificity Male Middle Aged Surveys and Questionnaires Psychometrics Follow-Up Studies Suicide, Attempted Diagnosis, Computer-Assisted Female Reproducibility of Results Hospitalization Young Adult Humans Machine Learning Algorithms Mental Disorders
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Detection of small colon bleeding in wireless capsule endoscopy videos.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Sep 25, 2016
In the recent years, wireless capsule endoscopy (WCE) technology has played a very important role in diagnosing diseases within the gastro intestinal (GI) tract of human beings. The WCE device captures images of the GI tract of patient with a certain...
Capsule Endoscopy Image Enhancement Support Vector Machine Color Hemorrhage Video Recording Sensitivity and Specificity Middle Aged Colon Humans
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A Realistic Seizure Prediction Study Based on Multiclass SVM.

International journal of neural systems Sep 23, 2016
A patient-specific algorithm, for epileptic seizure prediction, based on multiclass support-vector machines (SVM) and using multi-channel high-dimensional feature sets, is presented. The feature sets, combined with multiclass classification and post-...
Support Vector Machine Europe Electroencephalography Epilepsy Seizures Middle Aged Adolescent Child, Preschool Child Young Adult Adult Sensitivity and Specificity Male Humans Databases, Factual Prospective Studies Prognosis Female Aged Brain Precision Medicine
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Delaying Ambulation Mode Transition Decisions Improves Accuracy of a Flexible Control System for Powered Knee-Ankle Prosthesis.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Sep 22, 2016
Powered lower limb prostheses can assist users in a variety of ambulation modes by providing knee and/or ankle joint power. This study's goal was to develop a flexible control system to allow users to perform a variety of tasks in a natural, accurate...
Psychomotor Performance Ankle Joint Equipment Failure Analysis Gait Disorders, Neurologic Feedback, Physiological Biofeedback, Psychology Knee Joint Amputees Artificial Limbs Middle Aged Treatment Outcome Robotics Equipment Design Reproducibility of Results Aged Adult Sensitivity and Specificity Male Humans Female
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LMD Based Features for the Automatic Seizure Detection of EEG Signals Using SVM.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Sep 20, 2016
Achieving the goal of detecting seizure activity automatically using electroencephalogram (EEG) signals is of great importance and significance for the treatment of epileptic seizures. To realize this aim, a newly-developed time-frequency analytical ...
Humans Algorithms Electroencephalography Seizures Pattern Recognition, Automated Reproducibility of Results Sensitivity and Specificity Diagnosis, Computer-Assisted Support Vector Machine
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