Learning high-dimensional image statistics for abnormality detection on medical images

2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, CVPRW 2010

Volumn , Issue , 2010, Pages 139-145

  Erus, Guray ^a   Zacharaki, Evangelia I ^a,b   Bryan, Nick ^a   Davatzikos, Christos ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b UNIVERSITY OF PATRAS   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

ABNORMALITY DETECTION; CAPTURE IMAGES; DIMENSIONAL SUBSPACE; GENERAL METHODOLOGIES; HIGH DIMENSIONALITY; HIGH-DIMENSIONAL IMAGES; IMAGING DATA; INDIVIDUAL VARIABILITY; MARGINAL PROBABILITY; MEDICAL IMAGES; MULTISCALES; OBSERVED DATA; STATISTICAL LEARNING; STATISTICAL MODELS; SUBSPACE MODELS; TRAINING IMAGE; TRAINING SAMPLE;

COMPUTER VISION; PROBABILITY DENSITY FUNCTION; PROBABILITY DISTRIBUTIONS; STATISTICS; TECHNICAL PRESENTATIONS;

MEDICAL IMAGING;

EID: 77956533027     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2010.5543141     Document Type: Conference Paper

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