Bayesian transductive Markov random fields for interactive segmentation in retinal disorders

IFMBE Proceedings

Volumn 25, Issue 11, 2009, Pages 227-230

  Lee, Noah ^a   Laine, Andrew F ^a   Smith, R Theodore ^b  

^a Department of Earth and Environmental Sciences   (United States)

^b Och Spine at New York Presbyterian Hospitals   (United States)

Author keywords

Bayesian transduction; Generative learning; Interactive Segmentation; Markov random fields; Mixture models; Naive Bayes

Indexed keywords

BACTERIOPHAGES; BIOMEDICAL ENGINEERING; BIOPHYSICS; COMPUTER AIDED DIAGNOSIS; LEARNING SYSTEMS; MARKOV PROCESSES; MEDICAL PHYSICS; MIXTURES; OPHTHALMOLOGY; SEMI-SUPERVISED LEARNING;

BAYESIAN; GENERATIVE LEARNING; INTERACTIVE SEGMENTATION; MARKOV RANDOM FIELDS; MIXTURE MODEL; NAIVE BAYES;

IMAGE SEGMENTATION;

EID: 77950202195     PISSN: 16800737     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-642-03891-4_61     Document Type: Conference Paper

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