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

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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
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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