Automatic selection of ROIs using a model-based clustering approach

IEEE Nuclear Science Symposium Conference Record

Volumn , Issue , 2009, Pages 3194-3198

  Segovia, F ^a   Gorriz J M ^a   Ramirez J ^a   Salas Gonzalez D ^a   Illan I A ^a   Lopez M ^a   Chaves, R ^a   Padilla, P ^a   Puntonet, C G ^a  

^a UNIVERSITY OF GRANADA   (Spain)

Author keywords

Alzheimer; EM algorithm; Gaussian mixture model; SPECT

Indexed keywords

ACCURACY RATE; ALZHEIMER; ALZHEIMERS DISEASE; AUTOMATIC DIAGNOSIS; AUTOMATIC SELECTION; BRAIN IMAGES; CAD SYSTEM; EM ALGORITHMS; EXPECTATION-MAXIMIZATION ALGORITHMS; GAUSSIAN MIXTURE MODEL; MODEL-BASED CLUSTERING; REGIONS OF INTEREST; SMALL SAMPLE SIZE PROBLEMS; SPECT IMAGES; STATISTICAL CLASSIFIER;

COMMUNICATION CHANNELS (INFORMATION THEORY); DIAGNOSIS; FACE RECOGNITION; FEATURE EXTRACTION; IMAGE SEGMENTATION; MAGNETOSTRICTIVE DEVICES; MIXTURES; NUCLEAR PHYSICS; SUPPORT VECTOR MACHINES;

MATHEMATICAL MODELS;

EID: 77951158191     PISSN: 10957863     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NSSMIC.2009.5401704     Document Type: Conference Paper

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