The exploration machine - A novel method for analyzinghigh-dimensional data in computer-aided diagnosis

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 7260, Issue , 2009, Pages

  Wismüller, Axel ^a  

^a UNIVERSITY OF ROCHESTER   (United States)

Author keywords

Clustering; Computer aided diagnosis; Dimensionality reduction; Embedding; Exploration machine

Indexed keywords

BIOMEDICAL IMAGE DATA; BIOMEDICAL IMAGING; BRAIN ACTIVATION; BRAIN MRI; CLUSTERING; COMPUTATION TIME; DATA CLUSTERING; DIMENSIONALITY REDUCTION; EMBEDDING; ERROR VALUES; EXPLORATION MACHINE; EXPRESSION VISUALIZATION; FUNCTIONAL MRI; GENE EXPRESSION PROFILES; GENOME MICROARRAY; HIGH-DIMENSIONAL; IMAGING APPLICATIONS; IMAGING DATA; LOW-DIMENSIONAL REPRESENTATION; MODEL-FREE ANALYSIS; MULTIDIMENSIONAL DATA; NOVEL METHODS; QUANTITATIVE COMPARISON; ROC CURVES; SACCHAROMYCES CEREVISIAE; STRUCTURAL COMPONENT; STRUCTURE-PRESERVING; UNSUPERVISED CLUSTERING; UNSUPERVISED MACHINE LEARNING;

BIOACTIVITY; CLUSTER ANALYSIS; CLUSTERING ALGORITHMS; COMPUTATIONAL METHODS; COMPUTER AIDED ANALYSIS; CONFORMAL MAPPING; DATA VISUALIZATION; GENE EXPRESSION; MEDICAL IMAGING; STRENGTH OF MATERIALS; VISUALIZATION;

COMPUTER AIDED DIAGNOSIS;

EID: 66749128538     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.813892     Document Type: Conference Paper

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