Automatic tumor segmentation using knowledge-based techniques

IEEE Transactions on Medical Imaging

Volumn 17, Issue 2, 1998, Pages 187-201

  Clark, Matthew C ^a   Hall, Lawrence O ^a   Goldgof, Dmitry B ^b   Velthuizen, Robert ^b   Reed Murtagh, F ^b   Silbiger, Martin S ^b  

^a ENB 118   (United States)

^b UNIVERSITY OF SOUTH FLORIDA   (United States)

Author keywords

Clustering; Knowledge based (KB); Magnetic resonance imaging (MRI); Multispectral analysis; Region analysis; Tumor segmentation; Unsupervised classification

Indexed keywords

CONTRAST MEDIUM; DIAGNOSTIC AGENT; GADOLINIUM;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BRAIN; BRAIN TUMOR; COMPARATIVE STUDY; EXPERT SYSTEM; GLIOBLASTOMA; HUMAN; IMAGE ENHANCEMENT; IMAGE PROCESSING; IMAGE SUBTRACTION; LABORATORY DIAGNOSIS; MENINX; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; RADIOLOGY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; BRAIN NEOPLASMS; CONTRAST MEDIA; EXPERT SYSTEMS; FALSE POSITIVE REACTIONS; GADOLINIUM; GLIOBLASTOMA; HUMANS; IMAGE ENHANCEMENT; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MENINGES; PATTERN RECOGNITION, AUTOMATED; RADIOLOGY; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

ALGORITHMS; EXPERT SYSTEMS; FEATURE EXTRACTION; IMAGE ANALYSIS; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING;

MULTISPECTRAL HISTOGRAM ANALYSIS;

MEDICAL IMAGING;

EID: 0032034227     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/42.700731     Document Type: Article

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