AIMC Topic: Sensitivity and Specificity

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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 Neoplasm Grading Life Expectancy Brain Prognosis Reproducibility of Results Sensitivity and Specificity Brain Neoplasms Deep Learning Glioma Magnetic Resonance Imaging Humans Neural Networks, Computer Algorithms
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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...
Algorithms Brain Reproducibility of Results Sensitivity and Specificity Humans Alzheimer Disease Early Diagnosis Disease Progression Cognitive Dysfunction Support Vector Machine Magnetic Resonance Imaging
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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 Algorithms Reproducibility of Results Sensitivity and Specificity Muscle, Skeletal Muscle Fibers, 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...
Sensitivity and Specificity Humans Magnetic Resonance Imaging Neural Networks, Computer Pancreas Algorithms Reproducibility of Results
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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...
Infant Functional Neuroimaging Imaging, Three-Dimensional Cerebral Cortex Humans Infant, Newborn Reproducibility of Results Sensitivity and Specificity Machine Learning Algorithms
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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 Reproducibility of Results Area Under Curve Multimodal Imaging Sensitivity and Specificity Alzheimer Disease Disease Progression Positron-Emission Tomography 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 Radiographic Image Interpretation, Computer-Assisted Machine Learning Pattern Recognition, Automated Algorithms Sensitivity and Specificity Tomography, X-Ray Computed False Positive Reactions Humans Diagnostic Errors Reproducibility of Results Imaging, Three-Dimensional Solitary Pulmonary Nodule
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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...
Adult Patient Discharge Suicide, Attempted Female Humans Text Messaging Reproducibility of Results Telemedicine Sensitivity and Specificity Machine Learning Follow-Up Studies Diagnosis, Computer-Assisted Reminder Systems Hospitalization Male Spain Algorithms Mental Health Services Hospitals, Psychiatric Young Adult Surveys and Questionnaires Self-Injurious Behavior Middle Aged Mental Disorders Predictive Value of Tests Psychometrics Natural Language Processing
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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...
Image Enhancement Color Hemorrhage Video Recording Capsule Endoscopy Middle Aged Colon Support Vector Machine Humans Sensitivity and Specificity
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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-...
Databases, Factual Prospective Studies Brain Precision Medicine Europe Prognosis Female Electroencephalography Aged Humans Epilepsy Young Adult Seizures Adolescent Adult Child, Preschool Sensitivity and Specificity Child Male Support Vector Machine Middle Aged
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