Multiresolution texture models for brain tumor segmentation in MRI

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2011, Pages 6985-6988

  Iftekharuddin, Khan M ^a   Ahmed, Shaheen ^a   Hossen, Jakir ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN TISSUE; BRAIN TUMOR SEGMENTATION; BRAIN TUMORS; EXPECTATION MAXIMIZATION; GRAPH CUT; IMAGE FEATURES; KULLBACK-LEIBLER DIVERGENCE; MAGNETIC RESONANCE IMAGES; MULTI-MODALITY; MULTIFRACTIONAL BROWNIAN MOTION; MULTIRESOLUTION TEXTURES; PEDIATRIC PATIENTS; PREDICTION SCHEMES; RANDOM STRUCTURES; SELECTION TECHNIQUES; SIMILARITY METRICS; TEXTURE FEATURES; TUMOR SEGMENTATION;

ADAPTIVE BOOSTING; BRAIN; BRAIN MODELS; BROWNIAN MOVEMENT; FEATURE EXTRACTION; FRACTAL DIMENSION; IMAGE SEGMENTATION; MAGNETIC RESONANCE; SELF ORGANIZING MAPS; TEXTURES; TUMORS;

MAGNETIC RESONANCE IMAGING;

ALGORITHM; ARTICLE; BRAIN; BRAIN TUMOR; CHILD; COMPUTER; COMPUTER GRAPHICS; COMPUTER PROGRAM; FRACTAL ANALYSIS; HUMAN; IMAGE PROCESSING; METHODOLOGY; MOTION; MULTIVARIATE ANALYSIS; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; PRINCIPAL COMPONENT ANALYSIS; RECEIVER OPERATING CHARACTERISTIC; STATISTICAL MODEL; THEORETICAL MODEL;

ALGORITHMS; BRAIN; BRAIN NEOPLASMS; CHILD; COMPUTER GRAPHICS; COMPUTERS; FRACTALS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MODELS, STATISTICAL; MODELS, THEORETICAL; MOTION; MULTIVARIATE ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; ROC CURVE; SOFTWARE;

EID: 84864630060     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2011.6091766     Document Type: Conference Paper

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