Literature DB >> 21232688

The importance of ROC data.

Frank Samuelson, Brandon D Gallas, Kyle J Myers, Nicholas Petrick, Paul Pinsky, Berkman Sahiner, Gregory Campbell, Gene A Pennello.   

Abstract

Mesh：

Year:  2011        PMID： 21232688     DOI： 10.1016/j.acra.2010.10.016

Source DB:  PubMed          Journal:  Acad Radiol        ISSN： 1076-6332            Impact factor:   3.173


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  5 in total

1.  Evaluating imaging and computer-aided detection and diagnosis devices at the FDA.

Authors:  Brandon D Gallas; Heang-Ping Chan; Carl J D'Orsi; Lori E Dodd; Maryellen L Giger; David Gur; Elizabeth A Krupinski; Charles E Metz; Kyle J Myers; Nancy A Obuchowski; Berkman Sahiner; Alicia Y Toledano; Margarita L Zuley
Journal:  Acad Radiol       Date:  2012-02-03       Impact factor: 3.173

2.  Interreader scoring variability in an observer study using dual-modality imaging for breast cancer detection in women with dense breasts.

Authors:  Karen Drukker; Karla J Horsch; Lorenzo L Pesce; Maryellen L Giger
Journal:  Acad Radiol       Date:  2013-04-17       Impact factor: 3.173

3.  Multivariate normally distributed biomarkers subject to limits of detection and receiver operating characteristic curve inference.

Authors:  Neil J Perkins; Enrique F Schisterman; Albert Vexler
Journal:  Acad Radiol       Date:  2013-07       Impact factor: 3.173

4.  Measuring agreement between rating interpretations and binary clinical interpretations of images: a simulation study of methods for quantifying the clinical relevance of an observer performance paradigm.

Authors:  Dev P Chakraborty
Journal:  Phys Med Biol       Date:  2012-04-20       Impact factor: 3.609

5.  Estimating the receiver operating characteristic curve in studies that match controls to cases on covariates.

Authors:  Margaret Sullivan Pepe; Jing Fan; Christopher W Seymour
Journal:  Acad Radiol       Date:  2013-04-17       Impact factor: 3.173
  5 in total

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