Abstract
We demonstrate that sensitivity and specificity in detecting rheumatoid arthritis from optical tomographic images can be greatly increased when an artificial intelligent multi-parameter classifications method, called Self-Organizing Mapping (SOM), is used.
© 2008 Optical Society of America
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