Multi-structure segmentation of multi-modal brain images using artificial neural networks

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 7623, Issue PART 1, 2010, Pages

  Kim, Eun Young ^a,b   Johnson, Hans ^a,b  

^a University of Iowa   (United States)

^b W278 GH ^*  (United States)

Author keywords

Brain; Neural Networks; Registration; Segmentation

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BRAIN IMAGES; BRAIN STRUCTURE; DATA SETS; FEATURE VECTORS; HIGH RESOLUTION; HUMAN BRAIN; HUMAN LABOR; INTRACLASS CORRELATIONS; MR IMAGES; MULTI-MODAL; MULTI-STRUCTURE; MULTIPLE STRUCTURES; REGISTRATION; REGISTRATION METHODS; RELIABILITY METRICS; SEGMENTATION; SIMILARITY INDICES; SPATIAL LOCATION; STRUCTURAL SYMMETRY; TIME EFFICIENCIES; TRAINED NEURAL NETWORKS; TRAINING SETS;

IMAGE SEGMENTATION; IMAGING SYSTEMS; MEDICAL IMAGING; PROBABILITY DISTRIBUTIONS; SPATIAL DISTRIBUTION;

NEURAL NETWORKS;

EID: 79751475718     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.844613     Document Type: Conference Paper

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