Applying spatial distribution analysis techniques to classification of 3D medical images

Artificial Intelligence in Medicine

Volumn 33, Issue 3, 2005, Pages 261-280

  Pokrajac, Dragoljub ^a   Megalooikonomou, Vasileios ^b,c   Lazarevic, Aleksandar ^d   Kontos, Despina ^c   Obradovic, Zoran ^b,c  

^a DELAWARE STATE UNIVERSITY   (United States)

^b TEMPLE UNIVERSITY   (United States)

^c Temple University   (United States)

^d University of Minnesota   (United States)

Author keywords

Classification; Medical images; Probability distributions; Regions of interest; Similarity measures; Spatial data mining

Indexed keywords

DATA ACQUISITION; DISEASES; MATHEMATICAL MODELS; PROBABILITY DISTRIBUTIONS; SEMANTICS;

ALZHEIMER'S DISEASE (AD); MAXIMUM LIKELIHOOD (ML) PRINCIPLE; REGION OF INTEREST (ROI); SPATIAL DISTRIBUTION ANALYSIS;

MEDICAL IMAGING;

ACCURACY; ALZHEIMER DISEASE; ANALYTICAL ERROR; ARTICLE; CLASSIFICATION; DATA ANALYSIS; DATA BASE; IMAGE ANALYSIS; INTERMETHOD COMPARISON; MODEL; NEUROANATOMY; NORMAL DISTRIBUTION; PRIORITY JOURNAL; SIMULATION; THREE DIMENSIONAL IMAGING;

EID: 16244404240     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.artmed.2004.07.001     Document Type: Article

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