Computer-aided diagnosis for (123I)FP-CIT imaging: impact on clinical reporting

Computer-aided diagnosis for (123I)FP-CIT imaging: impact on clinical reporting

Abstract Background For (123I)FP-CIT imaging, a number of algorithms have shown high performance in distinguishing normal patient images from those with disease, but none have yet been tested as part of reporting workflows. This study aims to evaluate the impact on reporters’ performance of a comput...

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Bibliographic Details
Main Authors: Jonathan Christopher Taylor, Charles Romanowski, Eleanor Lorenz, Christine Lo, Oliver Bandmann, John Fenner
Format: Article
Language:English
Published: SpringerOpen 2018-05-01
Series:EJNMMI Research
Subjects:
(123I)FP-CIT
Machine learning
Support vector machine
Computer-aided diagnosis
Online Access:http://link.springer.com/article/10.1186/s13550-018-0393-5

Internet

http://link.springer.com/article/10.1186/s13550-018-0393-5

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