AIMC Topic: Sensitivity and Specificity

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Ultrasound Image Discrimination between Benign and Malignant Adnexal Masses Based on a Neural Network Approach.

Ultrasound in medicine & biology Dec 20, 2015
The discrimination between benign and malignant adnexal masses in ultrasound images represents one of the most challenging problems in gynecologic practice. In the study described here, a new method for automatic discrimination of adnexal masses base...
Neural Networks, Computer Algorithms Female Reproducibility of Results Humans Diagnosis, Differential Ovarian Neoplasms Image Interpretation, Computer-Assisted Pattern Recognition, Automated Adult Sensitivity and Specificity Middle Aged Ultrasonography Image Enhancement Adnexal Diseases
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Sensitive and versatile electrogenerated chemiluminescence biosensing platform for protein kinase based on Ru(bpy)3(2+) functionalized gold nanoparticles mediated signal transduction.

Analytica chimica acta Dec 17, 2015
A novel, sensitive and versatile electrogenerated chemiluminescence biosensing platform is developed for monitoring activity and inhibition of protein kinase based on Ru(bpy)3(2+) functionalized gold nanoparticles (Ru(bpy)3(2+)-AuNPs) mediated signal...
Microscopy, Atomic Force Sensitivity and Specificity Ruthenium Compounds Gold Biosensing Techniques Metal Nanoparticles Signal Transduction Luminescence Protein Kinases
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Logic regression-derived algorithms for syndromic management of vaginal infections.

BMC medical informatics and decision making Dec 16, 2015
BACKGROUND: Syndromic management of vaginal infections is known to have poor diagnostic accuracy. Logic regression is a machine-learning procedure which allows for the identification of combinations of variables to predict an outcome, such as the pre...
Adult Machine Learning Humans Sensitivity and Specificity Syndrome Algorithms India Vaginitis Prognosis Models, Theoretical Female
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Training and testing ERP-BCIs under different mental workload conditions.

Journal of neural engineering Dec 10, 2015
OBJECTIVE: As one of the most popular and extensively studied paradigms of brain-computer interfaces (BCIs), event-related potential-based BCIs (ERP-BCIs) are usually built and tested in ideal laboratory settings in most existing studies, with subjec...
Adult Sensitivity and Specificity Male Cognition Female Reproducibility of Results Young Adult Task Performance and Analysis Event-Related Potentials, P300 Communication Devices for People with Disabilities Word Processing Electroencephalography Humans Workload Machine Learning Pattern Recognition, Automated Brain-Computer Interfaces
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Fast Multiclass Dictionaries Learning With Geometrical Directions in MRI Reconstruction.

IEEE transactions on bio-medical engineering Nov 25, 2015
OBJECTIVE: Improve the reconstructed image with fast and multiclass dictionaries learning when magnetic resonance imaging is accelerated by undersampling the k-space data.
Algorithms Brain Reproducibility of Results Sensitivity and Specificity Magnetic Resonance Imaging Sample Size Artifacts Pattern Recognition, Automated Image Enhancement Humans Subtraction Technique Phantoms, Imaging Machine Learning Data Compression
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A Spiking Neural Network Methodology and System for Learning and Comparative Analysis of EEG Data From Healthy Versus Addiction Treated Versus Addiction Not Treated Subjects.

IEEE transactions on bio-medical engineering Nov 24, 2015
UNLABELLED: This paper introduces a method utilizing spiking neural networks (SNN) for learning, classification, and comparative analysis of brain data. As a case study, the method was applied to electroencephalography (EEG) data collected during a G...
Pattern Recognition, Automated Electroencephalography Methadone Brain Opioid-Related Disorders Female Reproducibility of Results Adult Sensitivity and Specificity Humans Male Neural Networks, Computer Diagnosis, Computer-Assisted Machine Learning Cognition
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Hand Rehabilitation Learning System With an Exoskeleton Robotic Glove.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Nov 19, 2015
This paper presents a hand rehabilitation learning system, the SAFE Glove, a device that can be utilized to enhance the rehabilitation of subjects with disabilities. This system is able to learn fingertip motion and force for grasping different objec...
Equipment Failure Analysis Exoskeleton Device Reproducibility of Results Sensitivity and Specificity User-Computer Interface Persons with Disabilities Robotics Equipment Design Hand Therapy, Computer-Assisted Humans Machine Learning Software
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Beyond Classification: Structured Regression for Robust Cell Detection Using Convolutional Neural Network.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention Nov 18, 2015
Robust cell detection serves as a critical prerequisite for many biomedical image analysis applications. In this paper, we present a novel convolutional neural network (CNN) based structured regression model, which is shown to be able to handle touch...
Neural Networks, Computer Cytological Techniques Algorithms Reproducibility of Results Sensitivity and Specificity Regression Analysis
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Deep Voting: A Robust Approach Toward Nucleus Localization in Microscopy Images.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention Nov 18, 2015
Robust and accurate nuclei localization in microscopy image can provide crucial clues for accurate computer-aid diagnosis. In this paper, we propose a convolutional neural network (CNN) based hough voting method to localize nucleus centroids with hea...
Algorithms Reproducibility of Results Sensitivity and Specificity Diagnosis, Computer-Assisted Humans Neural Networks, Computer Microscopy Cell Nucleus Neuroendocrine Tumors Politics
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Fast Cell Segmentation Using Scalable Sparse Manifold Learning and Affine Transform-approximated Active Contour.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention Nov 18, 2015
Efficient and effective cell segmentation of neuroendocrine tumor (NET) in whole slide scanned images is a difficult task due to a large number of cells. The weak or misleading cell boundaries also present significant challenges. In this paper, we pr...
Humans Machine Learning Algorithms Reproducibility of Results Cell Separation Neuroendocrine Tumors Sensitivity and Specificity Efficiency Pancreatic Neoplasms
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