AIMC Topic: Sensitivity and Specificity

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A risk management model for familial breast cancer: A new application using Fuzzy Cognitive Map method.

Computer methods and programs in biomedicine Jul 18, 2015
Breast cancer is the most deadly disease affecting women and thus it is natural for women aged 40-49 years (who have a family history of breast cancer or other related cancers) to assess their personal risk for developing familial breast cancer (FBC)...
Humans Machine Learning Precision Medicine Female Reproducibility of Results Aged Adult Sensitivity and Specificity Diagnosis, Computer-Assisted Decision Support Systems, Clinical Breast Neoplasms Genetic Predisposition to Disease Middle Aged Fuzzy Logic Risk Assessment Prevalence
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Feature-based fuzzy connectedness segmentation of ultrasound images with an object completion step.

Medical image analysis Jul 17, 2015
Medical ultrasound (US) image segmentation and quantification can be challenging due to signal dropouts, missing boundaries, and presence of speckle, which gives images of similar objects quite different appearance. Typically, purely intensity-based ...
Humans Ultrasonography Algorithms Image Enhancement Fuzzy Logic Reproducibility of Results Subtraction Technique Image Interpretation, Computer-Assisted Sensitivity and Specificity Pattern Recognition, Automated
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Multi-channel EEG-based sleep stage classification with joint collaborative representation and multiple kernel learning.

Journal of neuroscience methods Jul 17, 2015
BACKGROUND: Electroencephalography (EEG) based sleep staging is commonly used in clinical routine. Feature extraction and representation plays a crucial role in EEG-based automatic classification of sleep stages. Sparse representation (SR) is a state...
Sensitivity and Specificity Electroencephalography Sleep Apnea Syndromes Polysomnography Humans Machine Learning Brain Sleep Stages
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Features identification for automatic burn classification.

Burns : journal of the International Society for Burn Injuries Jul 15, 2015
PURPOSE: In this paper an automatic system to diagnose burn depths based on colour digital photographs is presented.
Skin Burns Automation Reproducibility of Results Photography Trauma Severity Indices Sensitivity and Specificity Burn Units Diagnosis, Computer-Assisted Support Vector Machine Humans Algorithms Databases, Factual
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Computational Discrimination of Breast Cancer for Korean Women Based on Epidemiologic Data Only.

Journal of Korean medical science Jul 15, 2015
Breast cancer is the second leading cancer for Korean women and its incidence rate has been increasing annually. If early diagnosis were implemented with epidemiologic data, the women could easily assess breast cancer risk using internet. National Ca...
Diagnosis, Computer-Assisted Humans Early Detection of Cancer Machine Learning Pattern Recognition, Automated Breast Neoplasms Aged Republic of Korea Middle Aged Women's Health Female Aged, 80 and over Risk Assessment Reproducibility of Results Adult Prevalence Risk Factors Sensitivity and Specificity
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Automatic diagnosis of premature ventricular contraction based on Lyapunov exponents and LVQ neural network.

Computer methods and programs in biomedicine Jul 9, 2015
Premature ventricular contraction (PVC) is a common type of abnormal heartbeat. Without early diagnosis and proper treatment, PVC may result in serious harms. Diagnosis of PVC is of great importance in goal-directed treatment and preoperation prognos...
Algorithms Sensitivity and Specificity Electrocardiography Automation Humans Neural Networks, Computer Ventricular Premature Complexes
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Weighting training images by maximizing distribution similarity for supervised segmentation across scanners.

Medical image analysis Jul 7, 2015
Many automatic segmentation methods are based on supervised machine learning. Such methods have proven to perform well, on the condition that they are trained on a sufficiently large manually labeled training set that is representative of the images ...
Diffusion Magnetic Resonance Imaging Pattern Recognition, Automated Image Enhancement Subtraction Technique Statistical Distributions Humans Algorithms Brain Reproducibility of Results Sensitivity and Specificity Data Interpretation, Statistical Supervised Machine Learning Image Interpretation, Computer-Assisted
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Machine learning algorithm accurately detects fMRI signature of vulnerability to major depression.

Psychiatry research Jul 5, 2015
Standard functional magnetic resonance imaging (fMRI) analyses cannot assess the potential of a neuroimaging signature as a biomarker to predict individual vulnerability to major depression (MD). Here, we use machine learning for the first time to ad...
Sensitivity and Specificity Humans Nerve Net Diagnosis, Computer-Assisted Male Machine Learning Temporal Lobe Algorithms Magnetic Resonance Imaging Depressive Disorder, Major Echo-Planar Imaging Biomarkers Reference Values Case-Control Studies Guilt Female Image Interpretation, Computer-Assisted Adult
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Abdominal multi-organ segmentation from CT images using conditional shape-location and unsupervised intensity priors.

Medical image analysis Jul 4, 2015
This paper addresses the automated segmentation of multiple organs in upper abdominal computed tomography (CT) data. The aim of our study is to develop methods to effectively construct the conditional priors and use their prediction power for more ac...
Radiographic Image Enhancement Radiography, Abdominal Unsupervised Machine Learning Radiographic Image Interpretation, Computer-Assisted Humans Tomography, X-Ray Computed Pattern Recognition, Automated Algorithms Reproducibility of Results Viscera Sensitivity and Specificity Imaging, Three-Dimensional
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Breast cancer detection and classification in digital mammography based on Non-Subsampled Contourlet Transform (NSCT) and Super Resolution.

Computer methods and programs in biomedicine Jul 4, 2015
Breast cancer is one of the most perilous diseases among women. Breast screening is a method of detecting breast cancer at a very early stage which can reduce the mortality rate. Mammography is a standard method for the early diagnosis of breast canc...
Pattern Recognition, Automated Radiographic Image Enhancement Female Reproducibility of Results Sensitivity and Specificity Breast Neoplasms Fuzzy Logic Mammography Sample Size Signal Processing, Computer-Assisted Humans Machine Learning Algorithms
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