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Title: Nonparametric ROC and LROC analysis

Abstract

In this paper we review several results of the nonparametric receiver operating characteristic (ROC) analysis and present an extension to the nonparametric localization ROC (LROC) analysis. Equations for the estimation of the area under the characteristic curve and for the variance calculations are derived. Expressions for the choice of the optimal ratio between the number of signal-absent and signal-present image samples are also presented. The results can be applied both with continuous or discrete scoring scales. The simulation studies carried out validate the theoretical derivations and show that the LROC analysis is considerably more sensitive than the ROC analysis.

Authors:
 [1]
  1. University of Pennsylvania, Department of Radiology, 423 Guardian Drive, 4th floor Blockley Hall, Philadelphia, PA 19104-6021 (United States)
Publication Date:
OSTI Identifier:
20951286
Resource Type:
Journal Article
Resource Relation:
Journal Name: Medical Physics; Journal Volume: 34; Journal Issue: 5; Other Information: DOI: 10.1118/1.2717407; (c) 2007 American Association of Physicists in Medicine; Country of input: International Atomic Energy Agency (IAEA)
Country of Publication:
United States
Language:
English
Subject:
62 RADIOLOGY AND NUCLEAR MEDICINE; COMPUTERIZED SIMULATION; IMAGE PROCESSING; IMAGES; REVIEWS; SENSITIVITY ANALYSIS; SIGNALS

Citation Formats

Popescu, Lucretiu M. Nonparametric ROC and LROC analysis. United States: N. p., 2007. Web. doi:10.1118/1.2717407.
Popescu, Lucretiu M. Nonparametric ROC and LROC analysis. United States. doi:10.1118/1.2717407.
Popescu, Lucretiu M. Tue . "Nonparametric ROC and LROC analysis". United States. doi:10.1118/1.2717407.
@article{osti_20951286,
title = {Nonparametric ROC and LROC analysis},
author = {Popescu, Lucretiu M.},
abstractNote = {In this paper we review several results of the nonparametric receiver operating characteristic (ROC) analysis and present an extension to the nonparametric localization ROC (LROC) analysis. Equations for the estimation of the area under the characteristic curve and for the variance calculations are derived. Expressions for the choice of the optimal ratio between the number of signal-absent and signal-present image samples are also presented. The results can be applied both with continuous or discrete scoring scales. The simulation studies carried out validate the theoretical derivations and show that the LROC analysis is considerably more sensitive than the ROC analysis.},
doi = {10.1118/1.2717407},
journal = {Medical Physics},
number = 5,
volume = 34,
place = {United States},
year = {Tue May 15 00:00:00 EDT 2007},
month = {Tue May 15 00:00:00 EDT 2007}
}