AIMC Topic: Sensitivity and Specificity

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Quantitative analysis of breast echotexture patterns in automated breast ultrasound images.

Medical physics Aug 1, 2015
PURPOSE: Breast tissue composition is considered to be associated with breast cancer risk. This study aimed to develop a computer-aided classification (CAC) system to automatically classify echotexture patterns as heterogeneous or homogeneous using a...
Ultrasonography, Mammary Image Interpretation, Computer-Assisted ROC Curve Support Vector Machine Databases, Factual Cluster Analysis Retrospective Studies Area Under Curve Female Aged Sensitivity and Specificity Breast Neoplasms Middle Aged Young Adult Adult Humans
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Artificial Neural Network Approach for Differentiating Open-Angle Glaucoma From Glaucoma Suspect Without a Visual Field Test.

Investigative ophthalmology & visual science Jun 1, 2015
PURPOSE: To increase the effectiveness of treating open-angle glaucoma (OAG), we tried to find a screening method of differentiating OAG from glaucoma suspect (GS) without a visual field (VF) test.
Diagnosis, Differential Predictive Value of Tests Tomography, Optical Coherence Nerve Fibers Male Middle Aged Refractive Errors Visual Acuity Ocular Hypertension Retinal Ganglion Cells Multivariate Analysis Diagnostic Techniques, Ophthalmological Glaucoma, Open-Angle Neural Networks, Computer Glaucoma Female Risk Factors Sensitivity and Specificity Cross-Sectional Studies Intraocular Pressure Aged Adult Humans
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Automatic Detection of Masses in Mammograms Using Quality Threshold Clustering, Correlogram Function, and SVM.

Journal of digital imaging Jun 1, 2015
Breast cancer is the second most common type of cancer in the world. Several computer-aided detection and diagnosis systems have been used to assist health experts and to indicate suspect areas that would be difficult to perceive by the human eye; th...
Humans Algorithms Female Sensitivity and Specificity Cluster Analysis Breast Neoplasms Mammography ROC Curve Radiographic Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Support Vector Machine
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Fetal thymus volume estimation by virtual organ computer-aided analysis in normal pregnancies.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine May 1, 2015
OBJECTIVES: The thymus has a pyramidal shape, which is best shown in coronal planes. The aim of this study was to evaluate the potential of virtual organ computer-aided analysis to estimate fetal thymus volume in normal pregnancies.
Humans Image Interpretation, Computer-Assisted Machine Learning Image Enhancement Algorithms Thymus Gland Reproducibility of Results Sensitivity and Specificity Ultrasonography, Prenatal Male User-Computer Interface Pregnancy Imaging, Three-Dimensional Female Organ Size
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Machine learning in medical imaging.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Apr 1, 2015
Image Interpretation, Computer-Assisted Pattern Recognition, Automated Image Enhancement Machine Learning Algorithms Reproducibility of Results Sensitivity and Specificity
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Clinical vestibular testing assessed with machine-learning algorithms.

JAMA otolaryngology-- head & neck surgery Apr 1, 2015
IMPORTANCE: Dizziness and imbalance are common clinical problems, and accurate diagnosis depends on determining whether damage is localized to the peripheral vestibular system. Vestibular testing guides this determination, but the accuracy of the dif...
Artificial Intelligence Algorithms Retrospective Studies Vestibular Function Tests Infant, Newborn Child Young Adult Postural Balance Adult Humans Dizziness Sensitivity and Specificity Aged Middle Aged Vestibular Diseases Aged, 80 and over Infant Adolescent Child, Preschool
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Comparative analysis of breast cancer detection in mammograms and thermograms.

Biomedizinische Technik. Biomedical engineering Feb 1, 2015
In this paper, we present a system based on feature extraction techniques for detecting abnormal patterns in digital mammograms and thermograms. A comparative study of texture-analysis methods is performed for three image groups: mammograms from the ...
Humans Machine Learning Breast Neoplasms Mammography Radiographic Image Interpretation, Computer-Assisted Algorithms Observer Variation Female Thermography Reproducibility of Results Sensitivity and Specificity
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Segmentation of acne lesion using fuzzy C-means technique with intelligent selection of the desired cluster.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jan 1, 2015
Segmentation is the basic and important step for digital image analysis and understanding. Segmentation of acne lesions in the visual spectrum of light is very challenging due to factors such as varying skin tones due to ethnicity, camera calibration...
Skin Humans Image Processing, Computer-Assisted Light Algorithms Acne Vulgaris Fuzzy Logic Dermatology Reproducibility of Results Cluster Analysis Pattern Recognition, Automated Sensitivity and Specificity Color
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Semi-supervised manifold learning with affinity regularization for Alzheimer's disease identification using positron emission tomography imaging.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jan 1, 2015
Dementia, Alzheimer's disease (AD) in particular is a global problem and big threat to the aging population. An image based computer-aided dementia diagnosis method is needed to providing doctors help during medical image examination. Many machine le...
Positron-Emission Tomography Image Interpretation, Computer-Assisted Longitudinal Studies Radiography Supervised Machine Learning Alzheimer Disease Brain Humans Aged Sensitivity and Specificity
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A Machine Learning Based Approach to de novo Sequencing of Glycans from Tandem Mass Spectrometry Spectrum.

IEEE/ACM transactions on computational biology and bioinformatics Jan 1, 2015
Recently, glycomics has been actively studied and various technologies for glycomics have been rapidly developed. Currently, tandem mass spectrometry (MS/MS) is one of the key experimental tools for identification of structures of oligosaccharides. M...
Machine Learning Algorithms Pattern Recognition, Automated Carbohydrate Sequence Molecular Sequence Data Sequence Analysis Glycomics Reproducibility of Results Sensitivity and Specificity Polysaccharides Tandem Mass Spectrometry
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