Machine Learning for Diagnosis of AD and Prediction of MCI Progression From Brain MRI Using Brain Anatomical Analysis Using Diffeomorphic Deformation

Machine Learning for Diagnosis of AD and Prediction of MCI Progression From Brain MRI Using Brain Anatomical Analysis Using Diffeomorphic Deformation

Background: With the growing momentum for the adoption of machine learning (ML) in medical field, it is likely that reliance on ML for imaging will become routine over the next few years. We have developed a software named BAAD, which uses ML algorithms for the diagnosis of Alzheimer's disease...

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Bibliographic Details
Main Authors: Ali Haidar Syaifullah, Akihiko Shiino, Hitoshi Kitahara, Ryuta Ito, Manabu Ishida, Kenji Tanigaki
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-02-01
Series:Frontiers in Neurology
Subjects:
artificial inteligence
cognitive impairment
Alzheheimer's disease
machine learning
support vector machine
magnetic resonance imaging
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2020.576029/full

Internet

https://www.frontiersin.org/articles/10.3389/fneur.2020.576029/full

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