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Scientific article
Open access
English

Accuracy of MRI Classification Algorithms in a Tertiary Memory Center Clinical Routine Cohort

Published inJournal of Alzheimer's Disease, vol. 74, no. 4, p. 1157-1166
Publication date2020
Abstract

Automated volumetry software (AVS) has recently become widely available to neuroradiologists. MRI volumetry with AVS may support the diagnosis of dementias by identifying regional atrophy. Moreover, automatic classifiers using machine learning techniques have recently emerged as promising approaches to assist diagnosis. However, the performance of both AVS and automatic classifiers have been evaluated mostly in the artificial setting of research datasets. Objective: Our aim was to evaluate the performance of two AVS and an automatic classifier in the clinical routine condition of a memory clinic.

Keywords
  • All cognitive disorders/dementia
  • Alzheimer's disease
  • Assessment of cognitive disorders/dementia
  • Magnetic resonance imaging
  • Volumetric MRI
Affiliation Not a UNIGE publication
Citation (ISO format)
MORIN, Alexandre et al. Accuracy of MRI Classification Algorithms in a Tertiary Memory Center Clinical Routine Cohort. In: Journal of Alzheimer’s Disease, 2020, vol. 74, n° 4, p. 1157–1166. doi: 10.3233/JAD-190594
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Article (Published version)
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Article (Accepted version)
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Identifiers
ISSN of the journal1387-2877
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Technical informations

Creation10/30/2020 3:45:00 PM
First validation10/30/2020 3:45:00 PM
Update time03/16/2023 12:54:19 AM
Status update03/16/2023 12:54:16 AM
Last indexation01/17/2024 1:42:57 PM
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