Back to search

Article

Automated classification of neurodegenerative parkinsonian syndromes using multimodal magnetic resonance imaging in a clinical setting

2020-03-30

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Several studies have shown that machine learning algorithms using MRI data can accurately discriminate parkinsonian syndromes. Validation under clinical conditions is missing. <h4>Objectives</h4> To evaluate the accuracy for the categorization of parkinsonian syndromes of a machine learning algorithm trained with a research cohort and tested on an independent clinical replicat...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
b9068517-bbde-5d1a-bbe3-79a14abca4da
DOI
10.1101/2020.03.27.20042671
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Automated classification of neurodegenerative parkinsonian syndromes using multimodal magnetic resonance imaging in a clinical settingDOI 10.1101/2020.03.27.20042671
Select a neighboring publication to make it the new centre.