HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH RSS TABLE OF CONTENTS		QUICK SEARCH:   [advanced] Author: Keyword(s): Year:  Vol:  Page:

This Article Abstract Full Text Full Text (PDF) Alert me when this article is cited Alert me if a correction is posted Services Email this article to a friend Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Google Scholar Articles by Vesselle, H. Articles by Haynor, D. Search for Related Content PubMed PubMed Citation Articles by Vesselle, H. Articles by Haynor, D.

Application of a Neural Network to Improve Nodal Staging Accuracy with ¹⁸F-FDG PET in Non-Small Cell Lung Cancer

Division of Nuclear Medicine, University of Washington, Seattle, Washington

View larger version (23K): [in a new window]   FIGURE 1. 18F-FDG PET-based clinical and surgical staging and management of NSCLC.

View larger version (50K): [in a new window]   FIGURE 2. aNN diagram (scenario 10).

View larger version (39K): [in a new window]   FIGURE 3. Phase 2: summary of aNN protocol.

View larger version (28K): [in a new window]   FIGURE 4. aNN accuracy for predicting surgicopathologic N status. CI = confidence interval.

View larger version (24K): [in a new window]   FIGURE 5. Comparison of aNN and PET reader accuracy for each of 100 training sessions. The larger the frequency of accuracy, the larger the symbol.