Identification of Alzheimer's disease using a convolutional neural network model based on T1-weighted magnetic resonance imaging
Abstract The classification of Alzheimer’s disease (AD) using deep learning methods has shown promising results, but successful application in clinical settings requires a combination of high accuracy, short processing time, and generalizability to various populations. In this study, we developed a...
Enregistré dans:
| Auteurs principaux: | , , , , , , , , , , |
|---|---|
| Format: | article |
| Langue: | EN |
| Publié: |
Nature Portfolio
2020
|
| Sujets: | |
| Accès en ligne: | https://doaj.org/article/371364b6586240818c2f135e1d8b7cbd |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|