On the reliability of deep learning-based classification for Alzheimer’s disease: Multi-cohorts, multi-vendors, multi-protocols, and head-to-head validation

On the reliability of deep learning-based classification for Alzheimer’s disease: Multi-cohorts, multi-vendors, multi-protocols, and head-to-head validation

Structural changes in the brain due to Alzheimer’s disease dementia (ADD) can be observed through brain T1-weighted magnetic resonance imaging (MRI) images. Many ADD diagnostic studies using brain MRI images have been conducted with machine-learning and deep-learning models. Although reliability is...

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Bibliographic Details
Main Authors: Yeong-Hun Song, Jun-Young Yi, Young Noh, Hyemin Jang, Sang Won Seo, Duk L. Na, Joon-Kyung Seong
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Neuroscience
Subjects:
Alzheimer’s disease
multi-cohort validation
structural magnetic resonance imaging
deep learning
reliability
clinical application
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2022.851871/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2022.851871/full

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