|
Abstract:
|
This dissertation focuses on the development of algorithms for analyzing and modeling of the signals from optical spectroscopy . This dissertation is motivated by the detection of oral cancer , but some of the methods developed can be generalized to epithelial cancers of other sites .
Two main topics are covered in this dissertation : Analysis and Modeling . For analysis , the focus is on developing algorithms to make diagnostic predictions . The analysis methods are empirically tested using an oral cancer dataset . Statistical analyses show that polarized reflectance spectroscopy has the potential to aid screening and diagnosis of oral cancer . Also , a novel adaptive windowing technique is developed to extract spectral features with fewer windows that retain the diagnostic information . For modeling , a Monte Carlo model simulating light -tissue interactions is presented to aid in the design of diagnostic instrumentation . |