Results 171 to 180 of about 488,717 (225)

Comprehensive Analysis of Receiver Operating Characteristic (ROC) Curves for Hyperspectral Anomaly Detection

IEEE Transactions on Geoscience and Remote Sensing, 2022
The receiver operating characteristic (ROC) curve of detection probability (PD) versus the false alarm probability (PF), referred to as 2D ROC curve, has been widely used to evaluate hyperspectral anomaly detection (AD) performance. This article explores
Chein-I Chang
exaly   +3 more sources

Statistical Approaches to the Analysis of Receiver Operating Characteristic (ROC) Curves

Medical Decision Making, 1984
In this article we review published and some unpublished work in statistical analyses of ROC curves. We describe both single and joint indices and indicate the approaches that have been taken to consider between-reader variations and correlations, within-reader variations, and variations and correlations between cases.
B J, McNeil, J A, Hanley
openaire   +3 more sources

Receiver Operating Characteristic (ROC) Curves: The Basics and Beyond

Hospital Pediatrics
Diagnostic tests and clinical prediction rules are frequently used to help estimate the probability of a disease or outcome. How well a test or rule distinguishes between disease or no disease (discrimination) can be measured by plotting a receiver operating characteristic (ROC) curve and calculating the area under it (AUROC).
Pearl W, Chang, Thomas B, Newman
openaire   +3 more sources

An Evaluation of Methods for Estimating the Area Under the Receiver Operating Characteristic (ROC) Curve

Medical Decision Making, 1985
The area under the receiver operating characteristic (ROC) curve serves as one means for evaluating the performance of diagnostic and predictive test systems. The most commonly used method for estimating the area under an ROC curve utilizes the maximum-likelihood-estimation technique, and a nonparametric method to calculate the area under an ROC curve ...
R M, Centor, J S, Schwartz
openaire   +3 more sources

A Visicalc Program for Estimating the Area Under a Receiver Operating Characteristic (ROC) Curve

Medical Decision Making, 1985
The area under the ROC curve interests us as a method for analyzing discrimination or detectability. One can assess a diagnostic test or probability assessor with respect to its degree of discrimination. The area under the ROC curve gives us the probability of correctly identifying abnormal from normal in a forced-choice, two-alternative problem ...
R. Centor
openaire   +3 more sources

A test for crossing receiver operating characteristic (roc) curves

Communications in Statistics - Theory and Methods, 1988
The receiver operating characteristic (ROC) curve gives a graphical representation of sensitivity and specificity of a prediction model when varying the decision treshold on a diagnostic criterion. A classical test for comparing the overall accuracies for two models -1 and 2- is based on the difference between ROC curves areas - related to its standard
Alain Moise
exaly   +2 more sources

A constrained formulation for the receiver operating characteristic (ROC) curve based on probability summation

Medical Physics, 2001
We propose a principled formulation of the ROC curve that is constrained in a realistic way by the mechanism of probability summation. The constrained and conventional ROC formulations were fitted to 150 separate sets of rating data taken from previous observer studies of 250 or 529 chest radiographs.
R G, Swensson, J L, King, D, Gur
openaire   +3 more sources

Advantages to transforming the receiver operating characteristic (ROC) curve into likelihood ratio co‐ordinates

Statistics in Medicine, 2004
Nils P Johnson
exaly   +2 more sources