Abstract
Detection and location of objects in NIR tomographic images was performed with a simultaneous ROC/LROC analysis model with maximum-likelihood based fitting of the curves. Effects of iteration and algorithm performance significantly alter detectability of objects.
© 2004 Optical Society of America
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