AIMC Topic: Sensitivity and Specificity

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Segmenting the Brain Surface from CT Images with Artifacts Using Dictionary Learning for Non-rigid MR-CT Registration.

Information processing in medical imaging : proceedings of the ... conference Jan 1, 2015
This paper presents a dictionary learning-based method to segment the brain surface in post-surgical CT images of epilepsy patients following surgical implantation of electrodes. Using the electrodes identified in the post-implantation CT, surgeons r...
Multimodal Imaging Tomography, X-Ray Computed Reproducibility of Results Epilepsy Image Enhancement Image Interpretation, Computer-Assisted Sensitivity and Specificity Pattern Recognition, Automated Magnetic Resonance Imaging Humans Artificial Intelligence Algorithms Brain
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Multi-scale Convolutional Neural Networks for Lung Nodule Classification.

Information processing in medical imaging : proceedings of the ... conference Jan 1, 2015
We investigate the problem of diagnostic lung nodule classification using thoracic Computed Tomography (CT) screening. Unlike traditional studies primarily relying on nodule segmentation for regional analysis, we tackle a more challenging problem on ...
Humans Neural Networks, Computer Algorithms Radiographic Image Enhancement Tomography, X-Ray Computed Reproducibility of Results Sensitivity and Specificity Lung Neoplasms Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Pattern Recognition, Automated Radiography, Thoracic
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Prediction of Longitudinal Development of Infant Cortical Surface Shape Using a 4D Current-Based Learning Framework.

Information processing in medical imaging : proceedings of the ... conference Jan 1, 2015
Understanding the early dynamics of the highly folded human cerebral cortex is still an actively evolving research field teeming with unanswered questions. Longitudinal neuroimaging analysis and modeling have become the new trend to advance research ...
Imaging, Three-Dimensional Longitudinal Studies Magnetic Resonance Imaging Pattern Recognition, Automated Reproducibility of Results Humans Aging Sensitivity and Specificity Artificial Intelligence Infant Brain Spatio-Temporal Analysis
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Finding a Path for Segmentation Through Sequential Learning.

Information processing in medical imaging : proceedings of the ... conference Jan 1, 2015
Sequential learning techniques, such as auto-context, that applies the output of an intermediate classifier as contextual features for its subsequent classifier has shown impressive performance for semantic segmentation. We show that these methods ca...
Animals Magnetic Resonance Imaging Muscle, Skeletal Dogs Image Enhancement Image Interpretation, Computer-Assisted Pattern Recognition, Automated Artificial Intelligence Algorithms Reproducibility of Results Sensitivity and Specificity
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Bodypart Recognition Using Multi-stage Deep Learning.

Information processing in medical imaging : proceedings of the ... conference Jan 1, 2015
Automatic medical image analysis systems often start from identifying the human body part contained in the image; Specifically, given a transversal slice, it is important to know which body part it comes from, namely "slice-based bodypart recognition...
Humans Artificial Intelligence Pattern Recognition, Automated Image Enhancement Whole Body Imaging Sensitivity and Specificity Male Middle Aged Infant Aged Child Algorithms Adolescent Aged, 80 and over Imaging, Three-Dimensional Tomography, X-Ray Computed Child, Preschool Young Adult Image Interpretation, Computer-Assisted Female Adult Reproducibility of Results
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Predicting Semantic Descriptions from Medical Images with Convolutional Neural Networks.

Information processing in medical imaging : proceedings of the ... conference Jan 1, 2015
Learning representative computational models from medical imaging data requires large training data sets. Often, voxel-level annotation is unfeasible for sufficient amounts of data. An alternative to manual annotation, is to use the enormous amount o...
Tomography, Optical Coherence Retina Image Interpretation, Computer-Assisted Semantics Pattern Recognition, Automated Image Enhancement Retinal Diseases Neural Networks, Computer Algorithms Reproducibility of Results Sensitivity and Specificity Humans
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Shape Classification Using Wasserstein Distance for Brain Morphometry Analysis.

Information processing in medical imaging : proceedings of the ... conference Jan 1, 2015
Brain morphometry study plays a fundamental role in medical imaging analysis and diagnosis. This work proposes a novel framework for brain cortical surface classification using Wasserstein distance, based on uniformization theory and Riemannian optim...
Reproducibility of Results Young Adult Adult Sensitivity and Specificity Artificial Intelligence Algorithms Brain Female Image Interpretation, Computer-Assisted Pattern Recognition, Automated Image Enhancement Male Adolescent Imaging, Three-Dimensional Magnetic Resonance Imaging Humans
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Automated Classification of Clinical Incident Types.

Studies in health technology and informatics Jan 1, 2015
We consider the task of automatic classification of clinical incident reports using machine learning methods. Our data consists of 5448 clinical incident reports collected from the Incident Information Management System used by 7 hospitals in the sta...
Machine Learning Reproducibility of Results Sensitivity and Specificity Hospital Information Systems Risk Management Medical Errors Bayes Theorem New South Wales Pattern Recognition, Automated
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Automatic Detection of Skin and Subcutaneous Tissue Infections from Primary Care Electronic Medical Records.

Studies in health technology and informatics Jan 1, 2015
INTRODUCTION: Skin and subcutaneous tissue infections (SSTI) are common conditions that cause avoidable hospitalisation in New Zealand. As part of a program to improve the management of SSTI in primary care, electronic medical records (EMR) of four A...
Vocabulary, Controlled Subcutaneous Tissue Skin Diseases, Bacterial Machine Learning Electronic Health Records Reproducibility of Results Sensitivity and Specificity Natural Language Processing New Zealand Humans Diagnosis, Computer-Assisted Data Mining Primary Health Care
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Human Activity Recognition from Smart-Phone Sensor Data using a Multi-Class Ensemble Learning in Home Monitoring.

Studies in health technology and informatics Jan 1, 2015
Home monitoring of chronically ill or elderly patient can reduce frequent hospitalisations and hence provide improved quality of care at a reduced cost to the community, therefore reducing the burden on the healthcare system. Activity recognition of ...
Machine Learning Reproducibility of Results Self Care Sensitivity and Specificity Humans Telemedicine Pattern Recognition, Automated Actigraphy Exercise Home Care Services Smartphone Transducers Mobile Applications Australia
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