Multifractal texture estimation for detection and segmentation of brain tumors

IEEE Transactions on Biomedical Engineering

Volumn 60, Issue 11, 2013, Pages 3204-3215

  Islam, Atiq ^a   Reza, Syed M S ^b   Iftekharuddin, Khan M ^b  

^a EBAY INC   (United States)

^b Old Dominion University   (United States)

Author keywords

AdaBoost classifier; brain tumor detection and segmentation; fractal; magnetic resonance image (MRI); multifractal analysis; multiresolution wavelet; texture modeling

Indexed keywords

ADA BOOST CLASSIFIERS; BRAIN TUMORS; MAGNETIC RESONANCE IMAGES (MRI); MULTIFRACTAL ANALYSIS; MULTIRESOLUTION WAVELETS; TEXTURE MODELING;

ADAPTIVE BOOSTING; ALGORITHMS; BRAIN; FRACTALS; MAGNETIC RESONANCE IMAGING; TEXTURES;

TUMORS;

ALGORITHM; ARTICLE; ASTROCYTOMA; BRAIN TUMOR; CANCER GRADING; CLINICAL EFFECTIVENESS; COVARIANCE; FLOW; GLIOMA; IMAGE ANALYSIS; IMAGE PROCESSING; MEDULLOBLASTOMA; MOTION; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; RADIOLOGICAL PARAMETERS; STOCHASTIC MODEL; TUMOR CLASSIFICATION;

ALGORITHMS; BRAIN; BRAIN NEOPLASMS; FRACTALS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; STOCHASTIC PROCESSES; WAVELET ANALYSIS;

EID: 84886669247     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2013.2271383     Document Type: Article

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