Machine learning based hierarchical classification of frontotemporal dementia and Alzheimer's disease

Machine learning based hierarchical classification of frontotemporal dementia and Alzheimer's disease

Background: In a clinical setting, an individual subject classification model rather than a group analysis would be more informative. Specifically, the subtlety of cortical atrophy in some frontotemporal dementia (FTD) patients and overlapping patterns of atrophy among three FTD clinical syndromes i...

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Main Authors: Jun Pyo Kim, Jeonghun Kim, Yu Hyun Park, Seong Beom Park, Jin San Lee, Sole Yoo, Eun-Joo Kim, Hee Jin Kim, Duk L. Na, Jesse A. Brown, Samuel N. Lockhart, Sang Won Seo, Joon-Kyung Seong
Format: Article
Language:English
Published: Elsevier 2019-01-01
Series:NeuroImage: Clinical
Online Access:http://www.sciencedirect.com/science/article/pii/S2213158219301615

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http://www.sciencedirect.com/science/article/pii/S2213158219301615

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