AIMC Topic: Sensitivity and Specificity

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Variability of automated carotid intima-media thickness measurements by novice operators.

Clinical physiology and functional imaging Sep 12, 2014
Carotid intima-media thickness (C-IMT) measurements provide a non-invasive assessment of subclinical atherosclerosis. The aim of the study was to assess the inter- and intra-observer variability of automated C-IMT measurements undertaken by two novic...
Reproducibility of Results Young Adult Adult Sensitivity and Specificity Humans Machine Learning Female Image Interpretation, Computer-Assisted Observer Variation United Kingdom Pattern Recognition, Automated Carotid Intima-Media Thickness Male Clinical Competence Adolescent Reference Values
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Trainable COSFIRE filters for vessel delineation with application to retinal images.

Medical image analysis Sep 3, 2014
Retinal imaging provides a non-invasive opportunity for the diagnosis of several medical pathologies. The automatic segmentation of the vessel tree is an important pre-processing step which facilitates subsequent automatic processes that contribute t...
Image Enhancement Sensitivity and Specificity Retinal Diseases Humans Image Interpretation, Computer-Assisted Fluorescein Angiography Artificial Intelligence Observer Variation Retinal Vessels Algorithms Pattern Recognition, Automated Reproducibility of Results
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Four-class classification of skin lesions with task decomposition strategy.

IEEE transactions on bio-medical engineering Aug 15, 2014
This paper proposes a new computer-aided method for the skin lesion classification applicable to both melanocytic skin lesions (MSLs) and nonmelanocytic skin lesions (NoMSLs). The computer-aided skin lesion classification has drawn attention as an ai...
Humans Artificial Intelligence Algorithms Skin Neoplasms Image Interpretation, Computer-Assisted Dermoscopy Pattern Recognition, Automated Reproducibility of Results Image Enhancement Sensitivity and Specificity Colorimetry
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Simple and efficient method for region of interest value extraction from picture archiving and communication system viewer with optical character recognition software and macro program.

Academic radiology Aug 12, 2014
RATIONALE AND OBJECTIVES: The objectives are: 1) to introduce a simple and efficient method for extracting region of interest (ROI) values from a Picture Archiving and Communication System (PACS) viewer using optical character recognition (OCR) softw...
Artificial Intelligence Pattern Recognition, Automated Radiology Information Systems Vocabulary, Controlled User-Computer Interface Software Natural Language Processing Data Mining Algorithms Programming Languages Reproducibility of Results Image Interpretation, Computer-Assisted Sensitivity and Specificity
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Feature selection in supervised saliency prediction.

IEEE transactions on cybernetics Aug 5, 2014
There is an increasing interest in learning mappings from features to saliency maps based on human fixation data on natural images. These models have achieved better results than most bottom-up (unsupervised) saliency models. However, they usually us...
Subtraction Technique Machine Learning Algorithms Image Interpretation, Computer-Assisted Reproducibility of Results Pattern Recognition, Automated Sensitivity and Specificity Image Enhancement
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Detection of temporal lobe epilepsy using support vector machines in multi-parametric quantitative MR imaging.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jul 21, 2014
The detection of MRI abnormalities that can be associated to seizures in the study of temporal lobe epilepsy (TLE) is a challenging task. In many cases, patients with a record of epileptic activity do not present any discernible MRI findings. In this...
Machine Learning Algorithms Female Image Enhancement Support Vector Machine Humans Reproducibility of Results Epilepsy, Temporal Lobe Multimodal Imaging Adult Image Interpretation, Computer-Assisted Diffusion Tensor Imaging Sensitivity and Specificity Pattern Recognition, Automated Male
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Computer-aided diagnosis of malignant mammograms using Zernike moments and SVM.

Journal of digital imaging Jul 9, 2014
This work is directed toward the development of a computer-aided diagnosis (CAD) system to detect abnormalities or suspicious areas in digital mammograms and classify them as malignant or nonmalignant. Original mammogram is preprocessed to separate t...
Breast Neoplasms Support Vector Machine Mammography Radiographic Image Interpretation, Computer-Assisted Radiographic Image Enhancement Databases, Factual Female Reproducibility of Results Sensitivity and Specificity Humans
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Enhanced needle localization in ultrasound using beam steering and learning-based segmentation.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jul 6, 2014
Segmentation of needles in ultrasound images remains a challenging problem. In this paper, we introduce a machine learning-based method for needle segmentation in 2D beam-steered ultrasound images. We used a statistical boosting approach to train a p...
Pattern Recognition, Automated Image Enhancement Needles Chickens Humans Ultrasonography, Interventional Injections Image Interpretation, Computer-Assisted Reproducibility of Results Swine Machine Learning Sensitivity and Specificity In Vitro Techniques Algorithms Animals Imaging, Three-Dimensional Nerve Block
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A data-driven approach to prostate cancer detection from dynamic contrast enhanced MRI.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jul 5, 2014
Magnetic resonance imaging (MRI), particularly dynamic contrast enhanced (DCE) imaging, has shown great potential in prostate cancer diagnosis and staging. In the current practice of DCE-MRI, diagnosis is based on quantitative parameters extracted fr...
Multimodal Imaging Principal Component Analysis Data Interpretation, Statistical Prostatic Neoplasms Sensitivity and Specificity Male Middle Aged Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Pattern Recognition, Automated Image Enhancement Humans Computer Simulation Reproducibility of Results Aged Machine Learning Algorithms
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Machine learning-based augmented reality for improved surgical scene understanding.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jun 19, 2014
In orthopedic and trauma surgery, AR technology can support surgeons in the challenging task of understanding the spatial relationships between the anatomy, the implants and their tools. In this context, we propose a novel augmented visualization of ...
Machine Learning Algorithms Tomography, X-Ray Computed Reproducibility of Results Sensitivity and Specificity Humans Image Enhancement Surgery, Computer-Assisted Video Recording Equipment Failure Analysis Image Interpretation, Computer-Assisted User-Computer Interface Pattern Recognition, Automated Imaging, Three-Dimensional Multimodal Imaging Equipment Design
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