Zobrazeno 1 - 10
of 478
pro vyhledávání: '"Robert F. Wagner"'
Publikováno v:
Computational Statistics & Data Analysis. 53:4370-4383
In the problem of binary classification (or medical diagnosis), the classification rule (or diagnostic test) produces a continuous decision variable which is compared to a critical value (or threshold). Test values above (or below) that threshold are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd93bb9a34d0a4e843ca9d231e0f59d3
https://doi.org/10.1016/j.csda.2009.06.006
https://doi.org/10.1016/j.csda.2009.06.006
A Framework for Random-Effects ROC Analysis: Biases with the Bootstrap and Other Variance Estimators
Publikováno v:
Communications in Statistics - Theory and Methods. 38:2586-2603
In this article, we analyze the three-way bootstrap estimate of the variance of the reader-averaged nonparametric area under the receiver operating characteristic (ROC) curve. The setting for this work is medical imaging, and the experimental design
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::603d0995ba94d979a260cd9e4e755c3c
https://doi.org/10.1080/03610920802610084
https://doi.org/10.1080/03610920802610084
Autor:
Robert F. Wagner
Publikováno v:
Medical Physics. 34:4944-4951
A favorite cliche, often attributed to Yogi Berra, is “Prediction is difficult, especially about the future!” In this brief review, we shall recall some historical difficulties in predicting the future of diagnosticmedicalimaging—in particular,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e7fe3e2b88850fcc15f7458e878807c
https://doi.org/10.1118/1.2805252
https://doi.org/10.1118/1.2805252
Publikováno v:
Academic Radiology. 14:723-748
This article reviews the central issues that arise in the assessment of diagnostic imaging and computer-assist modalities. The paradigm of the receiver operating characteristic (ROC) curve--the dependence of the true-positive fraction versus the fals
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74780e932e80bada1976ef8d13f71804
https://doi.org/10.1016/j.acra.2007.03.001
https://doi.org/10.1016/j.acra.2007.03.001
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 28:1809-1817
This paper considers binary classification. We assess a classifier in terms of the Area Under the ROC Curve (AUC). We estimate three important parameters, the conditional AUC (conditional on a particular training set) and the mean and variance of thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::841a3acacc5fcc886dd736b16374896f
https://doi.org/10.1109/tpami.2006.218
https://doi.org/10.1109/tpami.2006.218
Publikováno v:
Pattern Recognition Letters. 26:2600-2610
This article considers the problem of binary classification and its assessment in a distribution-free approach. We estimate the area under the ROC curve (a more general performance metric than the error rate) of a classifier using a bootstrap-based e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4042b621c8d8baa7d6b62c53efff926
https://doi.org/10.1016/j.patrec.2005.06.006
https://doi.org/10.1016/j.patrec.2005.06.006
Publikováno v:
Medical Decision Making. 24:561-572
The multiple-reader, multiple-case (MRMC) approach to receiver operating characteristic (ROC) analysis is becoming the dominant assessment paradigm in medical imaging. Its most common version involves having many readers read every patient case in th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb17fecfdcb7aff381e4959da049f72c
https://doi.org/10.1177/0272989x04271043
https://doi.org/10.1177/0272989x04271043
Autor:
Sergey V. Beiden, Stephen L. Hillis, Hae Hiang Song, Kevin S. Berbaum, Robert F. Wagner, Hemant Ishwaran, Nancy A. Obuchowski
Publikováno v:
Academic Radiology. 11:980-995
Rationale and objectives Several statistical methods have been developed for analyzing multireader, multicase (MRMC) receiver operating characteristic (ROC) studies. The objective of this article is to increase awareness of these methods and determin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e81e2fce8e9183afae8c3c203b7fedf
https://doi.org/10.1016/j.acra.2004.04.014
https://doi.org/10.1016/j.acra.2004.04.014
Autor:
Samuel G. Armato, David Gur, Berkman Sahiner, J W Sayre, Nicholas Petrick, Geoffrey McLennan, Michael F. McNitt-Gray, Robert F. Wagner, Heang Ping Chan, Sergey V. Beiden, Lori E. Dodd, Charles E. Metz
Publikováno v:
Academic Radiology. 11:462-475
Cancer of the lung and bronchus is the leading fatal malignancy in the United States. Five-year survival is low, but treatment of early stage disease considerably improves chances of survival. Advances in multidetector-row computed tomography technol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e8a3b2ba6f270dae4965e3a59b7bdfc
https://doi.org/10.1016/s1076-6332(03)00814-6
https://doi.org/10.1016/s1076-6332(03)00814-6
Publikováno v:
Academic Radiology. 9:1264-1277
In the last 2 decades major advances have been made in the field of assessment methods for medical imaging and computer–assist systems through the use of the paradigm of the receiver operating characteristic (ROC) curve. In the most recent decade t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d87f8d17a9d3ea612054cdcc91ff8af
https://doi.org/10.1016/s1076-6332(03)80560-3
https://doi.org/10.1016/s1076-6332(03)80560-3