Oblique-incidence spatially resolved diffuse reflectance spectroscopic diagnosis of skin cancer
This paper presents the use of spatially resolved oblique-incidence diffuse reflectance spectroscopy for skin cancer diagnosis. Spatio-spectral data from 166 pigmented skin lesions were collected for the wavelength range from 455 to 765 nm. A set of neural network based classifiers separates the pigmented malignant melanomas from the benign and dysplastic subgroups. A total of 110 lesions were used as the training set and 56 lesions were used as the testing set. This classifier performs with an overall 100% sensitivity and 92% specificity for the training set and 100% sensitivity and 88% specificity for the testing set. The second classifier was designed to separate the benign from the dysplastic subgroups. For the second classifier a total of 100 lesions were used as the training set and 51 lesions were used as the testing set. The overall classification rates were 94% and 88% for the training and testing sets respectively.
Additional Information© 2010 Society of Photo-Optical Instrumentation Engineers (SPIE). The authors thank Dr. Mays, Dr. Hymens and Dr. Mansfield at the University of Texas M. D. Anderson Cancer Center for their help during the data collection. This project is sponsored by National Institute of Health grant R01 CA106728.
Published - 75720L.pdf