Identification of Alzheimer's disease using a convolutional neural network model based on T1-weighted magnetic resonance imaging

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...

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Bibliographic Details
Main Authors: Jong Bin Bae, Subin Lee, Wonmo Jung, Sejin Park, Weonjin Kim, Hyunwoo Oh, Ji Won Han, Grace Eun Kim, Jun Sung Kim, Jae Hyoung Kim, Ki Woong Kim
Format: article
Language:EN
Published: Nature Portfolio 2020
Subjects:
Medicine
R
Science
Q
Online Access:https://doaj.org/article/371364b6586240818c2f135e1d8b7cbd
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https://doaj.org/article/371364b6586240818c2f135e1d8b7cbd

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