Information Fusion in Biomedical Image Analysis: Combination of Data vs. Combination of Interpretations

• Published in: Information Processing in Medical Imaging Vol. 19; pp. 150 - 161
• Main Authors: Rohlfing, T., Pfefferbaum, A., Sullivan, E. V., Maurer, C. R.
• Format: Book Chapter Journal Article
• Language: English
• Published: Berlin, Heidelberg Springer Berlin Heidelberg 2005
• Series: Lecture Notes in Computer Science
• Subjects: Algorithms; Artificial Intelligence; Average Image; Biomedical Engineering - methods; Brain - anatomy & histology; Databases, Factual; Humans; Image Enhancement - methods; Image Interpretation, Computer-Assisted - methods; Imaging, Three-Dimensional - methods; Information Fusion; Information Storage and Retrieval - methods; Information Theory; Magnetic Resonance Imaging - methods; Multiple Classifier System; Nonrigid Registration; Pattern Recognition, Automated - methods; Reproducibility of Results; Sensitivity and Specificity; Subject Image; Subtraction Technique
• ISBN: 9783540265450; 3540265457
• ISSN: 0302-9743; 1011-2499; 1611-3349
• DOI: 10.1007/11505730_13

Information fusion has, in the form of multiple classifier systems, long been a successful tool in pattern recognition applications. It is also becoming increasingly popular in biomedical image analysis, for example in computer-aided diagnosis and in image segmentation. In this paper, we extend the...