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Proceedings Paper

Combining a few diagnostic tests or features
Author(s): Robert F. Wagner; David G. Brown; Jeanpierre V. Guedon; Kyle J. Myers; Keith A. Wear
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Paper Abstract

There are many current trends toward combining diagnostic tests and features in medical imaging. For this reason we have been exploring the stucture of the finite-training-sample bias and variance that one encounters in pilot or feasibility studies within this paradigm. Here we report on the case of the simple linear Bayesian classifier in a space of a few dimensions (two through fifteen). The results argue for the importance of estimating these effects in clinical studies, perhaps through the use of resampling techniques.

Paper Details

Date Published: 11 May 1994
PDF: 10 pages
Proc. SPIE 2167, Medical Imaging 1994: Image Processing, (11 May 1994); doi: 10.1117/12.175084
Show Author Affiliations
Robert F. Wagner, Ctr. for Devices and Radiological Health/FDA (United States)
David G. Brown, Ctr. for Devices and Radiological Health/FDA (United States)
Jeanpierre V. Guedon, Univ. Hospital-Nantes (France)
Kyle J. Myers, Ctr. for Devices and Radiological Health/FDA (United States)
Keith A. Wear, Ctr. for Devices and Radiological Health/FDA (United States)


Published in SPIE Proceedings Vol. 2167:
Medical Imaging 1994: Image Processing
Murray H. Loew, Editor(s)

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