A Cellular Neural Network methodology for the automated segmentation of multiple sclerosis lesions

Journal of Neuroscience Methods

Volumn 203, Issue 1, 2012, Pages 193-199

  Cerasa, Antonio ^a   Bilotta, Eleonora ^b   Augimeri, Antonio ^a   Cherubini, Andrea ^a   Pantano, Pietro ^b   Zito, Giancarlo ^d   Lanza, Pierluigi ^a   Valentino, Paola ^c   Gioia, Maria C ^a,b   Quattrone, Aldo ^a,c  

^a CNR   (Italy)

^b UNIVERSITY OF CALABRIA   (Italy)

^c UNIVERSITY MAGNA GRAECIA OF CATANZARO   (Italy)

^d Casa di Cura San Raffaele Cassino   (Italy)

Author keywords

Cellular Neural Network (CNN); Lesion load automated segmentation; Magnetic resonance imaging (MRI); Multiple sclerosis (MS)

Indexed keywords

ADULT; ARTICLE; AUTOMATION; BRAIN REGION; CELLULAR NEURAL NETWORK; CLINICAL ARTICLE; CONTROLLED STUDY; DIFFUSION COEFFICIENT; GENETIC ALGORITHM; HUMAN; IMAGE ANALYSIS; IMAGING SYSTEM; LEARNING ALGORITHM; MULTIPLE SCLEROSIS; NERVE CELL NETWORK; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS;

ADULT; ALGORITHMS; BRAIN; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MULTIPLE SCLEROSIS, RELAPSING-REMITTING; NEURAL NETWORKS (COMPUTER);

EID: 81555197018     PISSN: 01650270     EISSN: 1872678X     Source Type: Journal    
DOI: 10.1016/j.jneumeth.2011.08.047     Document Type: Article

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