Details

Autor(en) / Beteiligte

• Inglese, P
• Amoroso, N
• Boccardi, M
• Bocchetta, M
• Bruno, S
• Chincarini, A
• Errico, R
• Frisoni, G.B
• Maglietta, R
• Redolfi, A
• Sensi, F
• Tangaro, S
• Tateo, A
• Bellotti, R

Titel

Multiple RF classifier for the hippocampus segmentation: Method and validation on EADC-ADNI Harmonized Hippocampal Protocol

Ist Teil von

• Physica medica, 2015-12, Vol.31 (8), p.1085-1091

Ort / Verlag

Italy: Elsevier Ltd

Erscheinungsjahr

2015

Link zum Volltext

Quelle

MEDLINE

Beschreibungen/Notizen

• Highlights • We present a voxel-by-voxel based algorithm for automated hippocampal segmentation. • A Multiple Random Forests algorithm was used to classify each voxel. • Structural MRI from EADC-ADNI Harmonized Protocol labels is used as gold standard. • The method is validated on a cohort of 50 T1 MRI scans for diagnosis of dementia. • A test on an independent database of MRI scans has been presented.