AIMC Topic: Sensitivity and Specificity

Clear Filters Showing 2281 to 2290 of 2922 articles

Segmentation of pulmonary nodules in computed tomography using a regression neural network approach and its application to the Lung Image Database Consortium and Image Database Resource Initiative dataset.

Medical image analysis Feb 23, 2015
We present new pulmonary nodule segmentation algorithms for computed tomography (CT). These include a fully-automated (FA) system, a semi-automated (SA) system, and a hybrid system. Like most traditional systems, the new FA system requires only a sin...
Neural Networks, Computer Algorithms Databases, Factual Tomography, X-Ray Computed Reproducibility of Results Humans Radiographic Image Interpretation, Computer-Assisted Pattern Recognition, Automated Radiography, Thoracic Radiographic Image Enhancement Sensitivity and Specificity Lung Neoplasms Solitary Pulmonary Nodule Regression Analysis Data Interpretation, Statistical
View on PubMed DOI

Automated system for lung nodules classification based on wavelet feature descriptor and support vector machine.

Biomedical engineering online Feb 12, 2015
BACKGROUND: Lung cancer is a leading cause of death worldwide; it refers to the uncontrolled growth of abnormal cells in the lung. A computed tomography (CT) scan of the thorax is the most sensitive method for detecting cancerous lung nodules. A lung...
Pattern Recognition, Automated Wavelet Analysis Incidental Findings ROC Curve Imaging, Three-Dimensional Lung Neoplasms Support Vector Machine Solitary Pulmonary Nodule Area Under Curve Radiographic Image Interpretation, Computer-Assisted Referral and Consultation Automation Humans Algorithms Tomography, X-Ray Computed Sensitivity and Specificity
View on PubMed DOI

Effects of robotically modulating kinematic variability on motor skill learning and motivation.

Journal of neurophysiology Feb 11, 2015
It is unclear how the variability of kinematic errors experienced during motor training affects skill retention and motivation. We used force fields produced by a haptic robot to modulate the kinematic errors of 30 healthy adults during a period of p...
Humans Adult Motivation Learning Sensitivity and Specificity Pleasure Male Female Motor Skills Robotics Reproducibility of Results Golf Athletic Performance Young Adult
View on PubMed DOI

Fuzzy logic selection as a new reliable tool to identify molecular grade signatures in breast cancer--the INNODIAG study.

BMC medical genomics Feb 7, 2015
BACKGROUND: Personalized medicine has become a priority in breast cancer patient management. In addition to the routinely used clinicopathological characteristics, clinicians will have to face an increasing amount of data derived from tumor molecular...
Oligonucleotide Array Sequence Analysis Fuzzy Logic Neoplasm Invasiveness Decision Making Neoplasm Recurrence, Local Prognosis Female Reproducibility of Results Sensitivity and Specificity Breast Neoplasms Gene Expression Profiling Cohort Studies Computational Biology Gene Expression Regulation, Neoplastic Databases, Genetic Humans Algorithms Precision Medicine
View on PubMed DOI

Phase information of time-frequency transforms as a key feature for classification of atrial fibrillation episodes.

Physiological measurement Feb 5, 2015
Patients suffering from atrial fibrillation can be classified into different subtypes, according to the temporal pattern of the arrhythmia and its recurrence. Nowadays, clinicians cannot differentiate a priori between the different subtypes, and pati...
Aged, 80 and over Adult Sensitivity and Specificity Middle Aged Cohort Studies Humans Aged Area Under Curve ROC Curve Tertiary Care Centers Hypertension Atrial Fibrillation Electrocardiography Fourier Analysis Support Vector Machine Cardiovascular Agents Principal Component Analysis
View on PubMed DOI

Using natural language processing to extract mammographic findings.

Journal of biomedical informatics Feb 3, 2015
OBJECTIVE: Structured data on mammographic findings are difficult to obtain without manual review. We developed and evaluated a rule-based natural language processing (NLP) system to extract mammographic findings from free-text mammography reports.
Mammography Humans Natural Language Processing Software Algorithms Female Sensitivity and Specificity
View on PubMed DOI

Structured patch model for a unified automatic and interactive segmentation framework.

Medical image analysis Jan 29, 2015
We present a novel interactive segmentation framework incorporating a priori knowledge learned from training data. The knowledge is learned as a structured patch model (StPM) comprising sets of corresponding local patch priors and their pairwise spat...
Reproducibility of Results Sensitivity and Specificity Models, Statistical Models, Biological Pattern Recognition, Automated Machine Learning Image Interpretation, Computer-Assisted Image Enhancement Algorithms Subtraction Technique Computer Simulation
View on PubMed DOI

Automatic epileptic seizure detection using scalp EEG and advanced artificial intelligence techniques.

BioMed research international Jan 29, 2015
The epilepsies are a heterogeneous group of neurological disorders and syndromes characterised by recurrent, involuntary, paroxysmal seizure activity, which is often associated with a clinicoelectrical correlate on the electroencephalogram. The diagn...
Scalp Infant Reproducibility of Results Humans Child Diagnosis, Computer-Assisted Young Adult Machine Learning Electroencephalography Adolescent Adult Algorithms Epilepsy Child, Preschool Sensitivity and Specificity Female Signal Processing, Computer-Assisted Male Pattern Recognition, Automated
View on PubMed DOI

Predicting Prodromal Alzheimer's Disease in Subjects with Mild Cognitive Impairment Using Machine Learning Classification of Multimodal Multicenter Diffusion-Tensor and Magnetic Resonance Imaging Data.

Journal of neuroimaging : official journal of the American Society of Neuroimaging Jan 28, 2015
BACKGROUND: Alzheimer's disease (AD) patients show early changes in white matter (WM) structural integrity. We studied the use of diffusion tensor imaging (DTI) in assessing WM alterations in the predementia stage of mild cognitive impairment (MCI).
Machine Learning Image Interpretation, Computer-Assisted Algorithms Humans Reproducibility of Results Image Enhancement Male Diffusion Tensor Imaging Aged Cognitive Dysfunction Prodromal Symptoms Sensitivity and Specificity Multimodal Imaging Alzheimer Disease
View on PubMed DOI

Combining macula clinical signs and patient characteristics for age-related macular degeneration diagnosis: a machine learning approach.

BMC ophthalmology Jan 27, 2015
BACKGROUND: To investigate machine learning methods, ranging from simpler interpretable techniques to complex (non-linear) "black-box" approaches, for automated diagnosis of Age-related Macular Degeneration (AMD).
Machine Learning Female Aged Sensitivity and Specificity Male ROC Curve Image Processing, Computer-Assisted Decision Trees Area Under Curve Humans Macular Degeneration Retinal Drusen Retinal Hemorrhage Subretinal Fluid Macula Lutea Retinal Pigment Epithelium
View on PubMed DOI
Popular Topics
Recent Journals