Classification of brain compartments and head injury lesions by neural networks applied to MRI

Neuroradiology

Volumn 37, Issue 7, 1995, Pages 535-541

  Kischell, E R ^a   Kehtarnavaz, N ^a   Hillman, G R ^b   Levin, H ^c   Lilly, M ^c   Kent, T A ^c  

^a TEXAS A AND M UNIVERSITY   (United States)

^b University of Texas Medical Branch School of Medicine   (United States)

^c UNIVERSITY OF TEXAS MEDICAL BRANCH   (United States)

Author keywords

Head injury; Magnetic resonance imaging; Neural networks

Indexed keywords

ARTICLE; CEREBROSPINAL FLUID; CHILD; CLINICAL ARTICLE; CONTROLLED STUDY; DISCRIMINANT ANALYSIS; ENCEPHALOMALACIA; GLIOSIS; GRAY MATTER; HEAD INJURY; HUMAN; NERVE CELL NETWORK; PRIORITY JOURNAL; WHITE MATTER;

ARTIFICIAL INTELLIGENCE; BRAIN; BRAIN DAMAGE, CHRONIC; BRAIN INJURIES; CEREBRAL CORTEX; CEREBROSPINAL FLUID; CHILD; CYSTS; ENCEPHALOMALACIA; EXPERT SYSTEMS; FEMALE; GLIOSIS; HEAD INJURIES, CLOSED; HUMAN; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; NEURAL NETWORKS (COMPUTER); REFERENCE VALUES; SUPPORT, NON-U.S. GOV'T; SUPPORT, U.S. GOV'T, P.H.S.;

EID: 0028850328     PISSN: 00283940     EISSN: 14321920     Source Type: Journal    
DOI: 10.1007/BF00593713     Document Type: Article

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