Improving brain tumor characterization on MRI by probabilistic neural networks and non-linear transformation of textural features

Computer Methods and Programs in Biomedicine

Volumn 89, Issue 1, 2008, Pages 24-32

  Georgiadis, Pantelis ^a   Cavouras, Dionisis ^b   Kalatzis, Ioannis ^b   Daskalakis, Antonis ^b   Kagadis, George C ^b   Sifaki, Koralia ^c   Malamas, Menelaos ^c   Nikiforidis, George ^a   Solomou, Ekaterini ^d  

^a UNIVERSITY OF PATRAS   (Greece)

^b UNIVERSITY OF WEST ATTICA   (Greece)

^c 251 General Hellenic Airforce Hospital   (Greece)

^d UNIVERSITY OF PATRAS   (Greece)

Author keywords

Brain tumors; MRI; Pattern classification; Textural features

Indexed keywords

COMPUTER SOFTWARE; MAGNETIC RESONANCE IMAGING; MEDICAL PROBLEMS; NONLINEAR EQUATIONS; PATTERN RECOGNITION; PROBABILISTIC LOGICS;

BRAIN TUMOR; PROBABILISTIC NEURAL NETWORK (PNN); TEXTURAL FEATURES;

NEURAL NETWORKS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BRAIN METASTASIS; CLASSIFIER; COMPUTER PROGRAM; COMPUTER SYSTEM; CONTRAST ENHANCEMENT; DIAGNOSTIC ACCURACY; DISCRIMINANT ANALYSIS; GLIOMA; MENINGIOMA; NONLINEAR SYSTEM; NUCLEAR MAGNETIC RESONANCE IMAGING; PROBABILITY;

BRAIN NEOPLASMS; DECISION TREES; DIAGNOSIS, DIFFERENTIAL; GLIOMA; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LEAST-SQUARES ANALYSIS; MAGNETIC RESONANCE IMAGING; MENINGIOMA; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; SOFTWARE;

EID: 37349003864     PISSN: 01692607     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cmpb.2007.10.007     Document Type: Article

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