Comparison of machine learning and semi-quantification algorithms for (I123)FP-CIT classification: the beginning of the end for semi-quantification?

Comparison of machine learning and semi-quantification algorithms for (I123)FP-CIT classification: the beginning of the end for semi-quantification?

Abstract Background Semi-quantification methods are well established in the clinic for assisted reporting of (I123) Ioflupane images. Arguably, these are limited diagnostic tools. Recent research has demonstrated the potential for improved classification performance offered by machine learning algor...

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Bibliographic Details
Main Authors: Jonathan Christopher Taylor, John Wesley Fenner
Format: Article
Language:English
Published: SpringerOpen 2017-11-01
Series:EJNMMI Physics
Subjects:
Parkinson’s disease
123I-FP
DaTSCAN
Semi-quantification
Machine learning
Support vector machine
Online Access:http://link.springer.com/article/10.1186/s40658-017-0196-1

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http://link.springer.com/article/10.1186/s40658-017-0196-1

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