A hybrid neural network analysis of subtle brain volume differences in children surviving brain tumors

Magnetic Resonance Imaging

Volumn 16, Issue 4, 1998, Pages 413-421

  Reddick, Wilburn E ^a,c   Mulhern, Raymond K ^a   David Elkin, T ^a,d   Glass, John O ^a   Merchant, Thomas E ^a   Langston, James W ^a,b  

^a ST JUDE CHILDREN S RESEARCH HOSPITAL   (United States)

^b UNIVERSITY OF TENNESSEE COLLEGE OF MEDICINE   (United States)

^c University of Memphis   (United States)

^d University of Memphis   (United States)

Author keywords

Image processing; Image segmentation and classification; MRI; Neural networks

Indexed keywords

ADOLESCENT; ADULT; ARTICLE; BRAIN INJURY; BRAIN SIZE; BRAIN TUMOR; CANCER GRADING; CANCER SURVIVAL; CHILD; CLINICAL ARTICLE; CONTROLLED STUDY; DISEASE CLASSIFICATION; FEMALE; FOLLOW UP; HUMAN; IMAGE ANALYSIS; MALE; MEDULLOBLASTOMA; NERVE CELL NETWORK; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; QUANTITATIVE DIAGNOSIS; TREATMENT PLANNING; WHITE MATTER;

ADOLESCENT; ADULT; ASTROCYTOMA; BRAIN; CEREBELLAR NEOPLASMS; CHILD; CHILD, PRESCHOOL; COMBINED MODALITY THERAPY; FEMALE; FOLLOW-UP STUDIES; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MEDULLOBLASTOMA; NEURAL NETWORKS (COMPUTER);

EID: 0031855402     PISSN: 0730725X     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0730-725X(98)00014-9     Document Type: Article

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