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Volumn 116, Issue , 2005, Pages 483-488
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Analyzing sub-classifications of glaucoma via som based clustering of optic nerve images
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Author keywords
Classification; Confocal scanning laser tomography; Glaucoma; Neural networks; Optic discs; Self organizing maps
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Indexed keywords
CLASSIFICATION (OF INFORMATION);
CONFORMAL MAPPING;
DATA MINING;
EYE PROTECTION;
IMAGE CLASSIFICATION;
IMAGE SEGMENTATION;
MAXIMUM PRINCIPLE;
NEURAL NETWORKS;
OPHTHALMOLOGY;
TOMOGRAPHY;
BASED CLUSTERING;
CONFOCAL SCANNING LASER TOMOGRAPHIES;
DATA MINING FRAMEWORKS;
EXPECTATION-MAXIMIZATION METHOD;
GLAUCOMA;
MORPHOLOGICAL FEATURES;
OPTIC DISC;
OPTIC NERVE IMAGES;
SELF ORGANIZING MAPS;
ALGORITHM;
CLUSTER ANALYSIS;
GLAUCOMA;
HUMAN;
LASER;
OPTIC DISK;
OPTIC NERVE;
TOMOGRAPHY;
ALGORITHMS;
CLUSTER ANALYSIS;
GLAUCOMA;
HUMANS;
LASERS;
OPTIC DISK;
OPTIC NERVE;
TOMOGRAPHY;
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EID: 34547890933
PISSN: 09269630
EISSN: 18798365
Source Type: Book Series
DOI: None Document Type: Conference Paper |
Times cited : (7)
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References (12)
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