Reliable and computationally efficient maximum-likelihood estimation of "proper" binormal ROC curves.
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Breast mass characterization using 3-dimensional automated ultrasound as an adjunct to digital breast tomosynthesis: a pilot study.Exploring nonlinear feature space dimension reduction and data representation in breast Cadx with Laplacian eigenmaps and t-SNE.Breast US computer-aided diagnosis system: robustness across urban populations in South Korea and the United States.Performance of breast ultrasound computer-aided diagnosis: dependence on image selection.Constructing "proper" ROCs from ordinal response data using weighted power functions.Using Dual Beta Distributions to Create "Proper" ROC Curves Based on Rating Category Data.Quantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA data setExperimental design and data analysis in receiver operating characteristic studies: lessons learned from reports in radiology from 1997 to 2006.Monitoring tumor response to neoadjuvant chemotherapy using MRI and 18F-FDG PET/CT in breast cancer subtypesPrincipal component analysis of breast DCE-MRI adjusted with a model-based methodOn the convexity of ROC curves estimated from radiological test resultsSemi-parametric area under the curve regression method for diagnostic studies with ordinal data.ROC curve inference for best linear combination of two biomarkers subject to limits of detectionAn investigation of the trade-off between the count level and image quality in myocardial perfusion SPECT using simulated images: the effects of statistical noise and object variability on defect detectability.Comparison of 3D OS-EM and 4D MAP-RBI-EM reconstruction algorithms for cardiac motion abnormality classification using a motion observer.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.Non-contrast enhanced MRI for evaluation of breast lesions: comparison of non-contrast enhanced high spectral and spatial resolution (HiSS) images versus contrast enhanced fat-suppressed imagesBreast Cancer Detection with Reduced Feature Set.Generalized Roe and Metz receiver operating characteristic model: analytic link between simulated decision scores and empirical AUC variances and covariances.Do long radiology workdays affect nodule detection in dynamic CT interpretation?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 modelUsing quantitative image analysis to classify axillary lymph nodes on breast MRI: a new application for the Z 0011 Era.Dual-energy contrast-enhanced digital mammography: initial clinical results of a multireader, multicase study.Operating characteristics predicted by models for diagnostic tasks involving lesion localization.Satisfaction of search from detection of pulmonary nodules in computed tomography of the chest.In vivo classification of breast masses using features derived from axial-strain and axial-shear images.Evaluation of computer-aided diagnosis on a large clinical full-field digital mammographic dataset.Comparing areas under receiver operating characteristic curves: potential impact of the "Last" experimentally measured operating pointInterreader scoring variability in an observer study using dual-modality imaging for breast cancer detection in women with dense breastsValidation and statistical power comparison of methods for analyzing free-response observer performance studies.MR Imaging Radiomics Signatures for Predicting the Risk of Breast Cancer Recurrence as Given by Research Versions of MammaPrint, Oncotype DX, and PAM50 Gene Assays.Current perspectives in medical image perceptionMammographic quantitative image analysis and biologic image composition for breast lesion characterization and classificationLUNGx Challenge for computerized lung nodule classification.A bivariate contaminated binormal model for robust fitting of proper ROC curves to a pair of correlated, possibly degenerate, ROC datasets.Performance comparison of single-view digital breast tomosynthesis plus single-view digital mammography with two-view digital mammography.
P2860
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P2860
Reliable and computationally efficient maximum-likelihood estimation of "proper" binormal ROC curves.
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
2007年论文
@zh
2007年论文
@zh-cn
name
Reliable and computationally e ...... "proper" binormal ROC curves.
@en
type
label
Reliable and computationally e ...... "proper" binormal ROC curves.
@en
prefLabel
Reliable and computationally e ...... "proper" binormal ROC curves.
@en
P2860
P1433
P1476
Reliable and computationally e ...... "proper" binormal ROC curves.
@en
P2093
Charles E Metz
P2860
P304
P356
10.1016/J.ACRA.2007.03.012
P577
2007-07-01T00:00:00Z