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...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Julkaisussa:Neuroimage Clin
Päätekijät: Kim, Jun Pyo, Kim, Jeonghun, Park, Yu Hyun, Park, Seong Beom, Lee, Jin San, Yoo, Sole, Kim, Eun-Joo, Kim, Hee Jin, Na, Duk L., Brown, Jesse A., Lockhart, Samuel N., Seo, Sang Won, Seong, Joon-Kyung
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Elsevier 2019
Aiheet:
Regular Article
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC6458431/
https://ncbi.nlm.nih.gov/pubmed/30981204
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.nicl.2019.101811
Tagit: Lisää tagi
Ei tageja, Lisää ensimmäinen tagi!

Samankaltaisia teoksia