Multidimensional texture characterization: On analysis for brain tumor tissues using MRS and MRI

Journal of Digital Imaging

Volumn 27, Issue 4, 2014, Pages 496-506

  Nachimuthu, Deepa Subramaniam ^a   Baladhandapani, Arunadevi ^a  

^a ANNA UNIVERSITY   (India)

Author keywords

Extreme learning machine; Feature extraction; Magnetic resonance imaging; Magnetic resonance spectroscopy; Multidimensional co occurrence matrices; Particle swarm optimization

Indexed keywords

BRAIN; CEREBROSPINAL FLUID; DIAGNOSIS; FEATURE EXTRACTION; GRADING; HISTOLOGY; ITERATIVE METHODS; KNOWLEDGE ACQUISITION; LEARNING SYSTEMS; MAGNETIC RESONANCE IMAGING; MAGNETIC RESONANCE SPECTROSCOPY; PARTICLE SWARM OPTIMIZATION (PSO);

AUTOMATED PATTERN RECOGNITION; AUTOMATIC CLASSIFICATION; CO-OCCURRENCE-MATRIX; ELEMENTARY STRUCTURE; EXTREME LEARNING MACHINE; MAGNETIC RESONANCE SPECTROSCOPIES (MRS); NEURAL NETWORK CLASSIFIER; TEXTURE CHARACTERIZATIONS;

TUMORS;

ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BRAIN; BRAIN NEOPLASMS; DIFFERENTIAL DIAGNOSIS; HUMAN; IMAGE PROCESSING; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; PATHOLOGY; PROCEDURES; REPRODUCIBILITY; STATISTICS AND NUMERICAL DATA;

ARTIFICIAL INTELLIGENCE; BRAIN; BRAIN NEOPLASMS; DIAGNOSIS, DIFFERENTIAL; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MAGNETIC RESONANCE SPECTROSCOPY; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS;

EID: 84904399848     PISSN: 08971889     EISSN: 1618727X     Source Type: Journal    
DOI: 10.1007/s10278-013-9669-5     Document Type: Article

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