AIMC Topic: Sensitivity and Specificity

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Texture analysis for colorectal tumour biopsies using multispectral imagery.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2015
Colorectal cancer is one of the most common cancers in the world. As part of its diagnosis, a histological analysis is often run on biopsy samples. Multispecral imagery taken from cancer tissues can be useful to capture more meaningful features. Howe...
Colorectal Neoplasms Support Vector Machine Diagnostic Imaging Biopsy Humans Sensitivity and Specificity
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Cramér-Rao lower bound calculations for image registration using simulated phenomenology.

Journal of the Optical Society of America. A, Optics, image science, and vision Aug 1, 2015
The Cramér-Rao lower bound (CRLB) is a valuable tool to quantify fundamental limits to estimation problems associated with imaging systems, and has been used previously to study image registration performance bounds. Most existing work, however, assu...
Subtraction Technique Machine Learning Algorithms Reproducibility of Results Imaging, Three-Dimensional Sensitivity and Specificity Image Interpretation, Computer-Assisted Pattern Recognition, Automated Image Enhancement
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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...
Female Aged Young Adult Adult Humans Databases, Factual Retrospective Studies Support Vector Machine Cluster Analysis Area Under Curve Ultrasonography, Mammary Image Interpretation, Computer-Assisted Sensitivity and Specificity Breast Neoplasms Middle Aged ROC Curve
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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.
Diagnostic Techniques, Ophthalmological Glaucoma, Open-Angle Ocular Hypertension Tomography, Optical Coherence Nerve Fibers Retinal Ganglion Cells Multivariate Analysis Cross-Sectional Studies Intraocular Pressure Male Middle Aged Refractive Errors Visual Acuity Diagnosis, Differential Predictive Value of Tests Risk Factors Aged Adult Sensitivity and Specificity Humans Neural Networks, Computer Glaucoma Female
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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 ROC Curve Image Processing, Computer-Assisted Support Vector Machine Cluster Analysis Algorithms Female Sensitivity and Specificity Breast Neoplasms Mammography Radiographic Image Interpretation, Computer-Assisted
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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.
Sensitivity and Specificity Male Ultrasonography, Prenatal User-Computer Interface Algorithms Image Interpretation, Computer-Assisted Humans Imaging, Three-Dimensional Pregnancy Image Enhancement Female Organ Size Thymus Gland Machine Learning Reproducibility of Results
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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...
Sensitivity and Specificity Middle Aged Infant Adolescent Child, Preschool Child Postural Balance Dizziness Aged Aged, 80 and over Young Adult Adult Artificial Intelligence Algorithms Retrospective Studies Humans Infant, Newborn Vestibular Diseases Vestibular Function Tests
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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 ...
Mammography Humans Radiographic Image Interpretation, Computer-Assisted Machine Learning Female Algorithms Observer Variation Reproducibility of Results Thermography Sensitivity and Specificity Breast Neoplasms
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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 Light Acne Vulgaris Image Processing, Computer-Assisted Dermatology Humans Fuzzy Logic Pattern Recognition, Automated Algorithms Cluster Analysis Reproducibility of Results Color Sensitivity and Specificity
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