Extraction, selection and comparison of features for an effective automated computer-aided diagnosis of Parkinson's disease based on 123IFP-CIT SPECT images.

07:00 EST 23rd December 2017 | BioPortfolio

Summary of "Extraction, selection and comparison of features for an effective automated computer-aided diagnosis of Parkinson's disease based on 123IFP-CIT SPECT images."

This work aimed to assess the potential of a set of features extracted from [123I]FP-CIT SPECT brain images to be used in the computer-aided "in vivo" confirmation of dopaminergic degeneration and therefore to assist clinical decision to diagnose Parkinson's disease.


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This article was published in the following journal.

Name: European journal of nuclear medicine and molecular imaging
ISSN: 1619-7089


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Parkinson's Disease
Parkinson's is a progressive neurological condition, affecting one person in every 500, 95% of which are over 40. It is caused by degeneration of more than 70% of the substantia nigra, which depletes the dopamine (the neurotransmitter involved in pro...

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