Prediction of Amyloid Positivity in Mild Cognitive Impairment Using Fully Automated Brain Segmentation Software

Prediction of Amyloid Positivity in Mild Cognitive Impairment Using Fully Automated Brain Segmentation Software

Koung Mi Kang,1 Chul-Ho Sohn,2 Min Soo Byun,3 Jun Ho Lee,4 Dahyun Yi,3 Younghwa Lee,4 Jun-Young Lee,5 Yu Kyeong Kim,6 Bo Kyung Sohn,7 Roh-Eul Yoo,1 Tae Jin Yun,1 Seung Hong Choi,2 Ji-hoon Kim,1 Dong Young Lee8 On behalf of the KBASE Research Group1Department of Radiology, Seoul National University H...

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Détails bibliographiques
Auteurs principaux: Kang KM, Sohn CH, Byun MS, Lee JH, Yi D, Lee Y, Lee JY, Kim YK, Sohn BK, Yoo RE, Yun TJ, Choi SH, Kim J, Lee DY
Format: article
Langue:EN
Publié: Dove Medical Press 2020
Sujets:
amyloid
brain segmentation
magnetic resonance imaging
cognitive impairment
Neurosciences. Biological psychiatry. Neuropsychiatry
RC321-571
Neurology. Diseases of the nervous system
RC346-429
Accès en ligne:https://doaj.org/article/73031b65eb5345b5867a838aad1f99d7
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https://doaj.org/article/73031b65eb5345b5867a838aad1f99d7

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