Evaluation of supervised methods for the classification of major tissues and subcortical structures in multispectral brain magnetic resonance images(572 views)(PDF restricted249 views) Murino L, Granata D, Carfora MF, Selvan SE, Alfano B, Amato U, Larobina M
Comput Med Imag Grap (ISSN: 0895-6111), 2014 Jul; 38(5): 337-347.
Keywords: Atlas-Based, Brain, Denoising, Discriminant Analysis, Segmentation, Subcortical Structures, Histology, Image Segmentation, Magnetic Resonance Imaging, Brain Magnetic Resonance Images, Classification Performance, De-Noising, Discriminant Analysis Methods, False Positive And False Negatives, Supervised Classification, Tissue, Article, False Negative Result, False Positive Result, Functional Neuroimaging, Imaging Phantom, K Nearest Neighbor, Kappa Statistics, Nuclear Magnetic Resonance, Priority Journal, Support Vector Machine, Brain Anatomy, Humans, Magnetic Resonance Imaging Methods,
Affiliations: *** IBB - CNR ***
Istituto per le Applicazioni del Calcolo 'Mauro Picone' CNR, Napoli, Italy
Istituto di Biostrutture e Bioimmagini CNR, Napoli, Italy
Université catholique de Louvain, Department of Mathematical Engineering, Louvain-la-Neuve, Belgium
Universite catholique de Louvain, Department of Mathematical Engineering, Louvain-la-Neuve, Belgium.
Universit catholique de Louvain, Department of Mathematical Engineering, Louvain-la-Neuve, Belgium
References: Not available.
Evaluation of supervised methods for the classification of major tissues and subcortical structures in multispectral brain magnetic resonance images