Efficacy of texture, shape and intensity features for robust posterior-fossa tumor segmentation in MRI

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 7260, Issue , 2009, Pages

  Ahmed, S ^a   Iftekharuddin, K M ^a   Ogg, R J ^b   Laningham, F H ^b  

^a University of Memphis   (United States)

^b ST JUDE CHILDREN S RESEARCH HOSPITAL   (United States)

Author keywords

Expectation maximization; Feature extraction; Kullback Leibler divergence; Level set; MRI; Multifractional Brownian motion; Posterior fossa

Indexed keywords

EXPECTATION MAXIMIZATION; KULLBACK LEIBLER DIVERGENCE; LEVEL SET; MRI; MULTIFRACTIONAL BROWNIAN MOTION; POSTERIOR FOSSA;

BROWNIAN MOVEMENT; COMPUTER AIDED DIAGNOSIS; FRACTALS; IMAGE SEGMENTATION; INFORMATION THEORY; LEVEL MEASUREMENT; MAXIMUM PRINCIPLE; MEDICAL IMAGING; OPTIMIZATION; PEDIATRICS; TEXTURES; TUMORS;

FEATURE EXTRACTION;

EID: 66749088730     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.813875     Document Type: Conference Paper

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