Automatic landmark extraction from image data using modified growing neural gas network

IEEE Transactions on Information Technology in Biomedicine

Volumn 7, Issue 2, 2003, Pages 77-85

  Fatemizadeh, Emad ^a,b   Lucas, Caro ^a,b   Soltanian Zadeh, Hamid ^a,b,c  

^a UNIVERSITY OF TEHRAN   (Iran)

^b INSTITUTE FOR STUDIES IN THEORETICAL PHYSICS AND MATHEMATICS IPM   (Iran)

^c HENRY FORD HEALTH SYSTEM   (United States)

Author keywords

Clustering; Image warping; Kohonen; Modified growing neural gas (MGNG); Multimodality; Registration

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; BRAIN; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING; MATHEMATICAL MODELS; MEDICAL IMAGING; SELF ORGANIZING MAPS; STATISTICAL METHODS; TOPOLOGY;

AUTOMATIC LANDMARK EXTRACTION; IMAGE WARPING; MODIFIED GROWING NEURAL GAS; NODE SPLITTING-MERGING KOHONEN MODEL; TEH-CHIN ALGORITHM;

FEATURE EXTRACTION;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; BRAIN; CLUSTER ANALYSIS; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; EVALUATION; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; OBSERVER VARIATION; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; VALIDATION STUDY;

ALGORITHMS; BRAIN; CLUSTER ANALYSIS; COMPUTER SIMULATION; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; NEURAL NETWORKS (COMPUTER); OBSERVER VARIATION; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 0038451458     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2003.808501     Document Type: Article

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