"Proper" Binormal ROC Curves: Theory and Maximum-Likelihood Estimation.
about
Computer-assisted detection of infectious lung diseases: a review.Performance of breast ultrasound computer-aided diagnosis: dependence on image selection.The three-class ideal observer for univariate normal data: Decision variable and ROC surface propertiesValidation of Monte Carlo estimates of three-class ideal observer operating points for normal dataConstructing "proper" ROCs from ordinal response data using weighted power functions.Using Dual Beta Distributions to Create "Proper" ROC Curves Based on Rating Category Data.Comparison of semiparametric receiver operating characteristic models on observer data.First clinical evaluation of sagittal laser optical tomography for detection of synovitis in arthritic finger joints.Quantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA data setMUC1-associated proliferation signature predicts outcomes in lung adenocarcinoma patientsEvaluation of computer-aided detection and diagnosis systems.On the convexity of ROC curves estimated from radiological test resultsLong radiology workdays reduce detection and accommodation accuracyComputerized method for evaluating diagnostic image quality of calcified plaque images in cardiac CT: validation on a physical dynamic cardiac phantomUse of likelihood ratios for comparisons of binary diagnostic tests: underlying ROC curves.Arrow plot: a new graphical tool for selecting up and down regulated genes and genes differentially expressed on sample subgroups.Lung texture in serial thoracic CT scans: correlation with radiologist-defined severity of acute changes following radiation therapyObserver study for evaluating potential utility of a super-high-resolution LCD in the detection of clustered microcalcifications on digital mammogramsUsing the mean-to-sigma ratio as a measure of the improperness of binormal ROC curvesComparison between differently priced devices for digital capture of X-ray films using computed tomography as a gold standard: a multireader-multicase receiver operating characteristic curve study.New developments in observer performance methodology in medical imagingThe effect of two priors on Bayesian estimation of "Proper" binormal ROC curves from common and degenerate datasets.Methods for identifying the cost-effective case definition cut-off for sequential monitoring tests: an extension of Phelps and Mushlin.Digital breast tomosynthesis is comparable to mammographic spot views for mass characterization.Generalized Roe and Metz receiver operating characteristic model: analytic link between simulated decision scores and empirical AUC variances and covariances.Impact of different training strategies on the accuracy of a Bayesian network for predicting hospital admission.Do long radiology workdays affect nodule detection in dynamic CT interpretation?Increase in perceived case suspiciousness due to local contrast optimisation in digital screening mammography.Using computer-extracted image phenotypes from tumors on breast magnetic resonance imaging to predict breast cancer pathologic stage.A scaling transformation for classifier output based on likelihood ratio: applications to a CAD workstation for diagnosis of breast cancer.Semiparametric estimation of the relationship between ROC operating points and the test-result scale: application to the proper binormal modelEvaluating computer-aided detection algorithms.Dual-energy contrast-enhanced digital mammography: initial clinical results of a multireader, multicase study.Breast tomosynthesis and digital mammography: a comparison of diagnostic accuracy.ROC curves predicted by a model of visual search.Selection of a rating scale in receiver operating characteristic studies: some remaining issuesComputer-aided detection system for clustered microcalcifications in digital breast tomosynthesis using joint information from volumetric and planar projection imagesOperating characteristics predicted by models for diagnostic tasks involving lesion localization.An MRI-based index to measure the severity of Alzheimer's disease-like structural pattern in subjects with mild cognitive impairment.Efficiency of the human observer detecting random signals in random backgrounds.
P2860
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P2860
"Proper" Binormal ROC Curves: Theory and Maximum-Likelihood Estimation.
description
1999 nî lūn-bûn
@nan
1999年の論文
@ja
1999年学术文章
@wuu
1999年学术文章
@zh
1999年学术文章
@zh-cn
1999年学术文章
@zh-hans
1999年学术文章
@zh-my
1999年学术文章
@zh-sg
1999年學術文章
@yue
1999年學術文章
@zh-hant
name
"Proper" Binormal ROC Curves: Theory and Maximum-Likelihood Estimation.
@en
"Proper" Binormal ROC Curves: Theory and Maximum-Likelihood Estimation.
@nl
type
label
"Proper" Binormal ROC Curves: Theory and Maximum-Likelihood Estimation.
@en
"Proper" Binormal ROC Curves: Theory and Maximum-Likelihood Estimation.
@nl
prefLabel
"Proper" Binormal ROC Curves: Theory and Maximum-Likelihood Estimation.
@en
"Proper" Binormal ROC Curves: Theory and Maximum-Likelihood Estimation.
@nl
P356
P1476
"Proper" Binormal ROC Curves: Theory and Maximum-Likelihood Estimation.
@en
P356
10.1006/JMPS.1998.1218
P577
1999-03-01T00:00:00Z