We discuss the use of a noninvasive <i>in vivo</i> optical technique, diffuse reflectance spectroscopic imaging with oblique incidence, to distinguish between benign and cancer-prone skin lesions. Various image features were examined to classify the images from lesions into benign and cancerous categories. Two groups of lesions were processed separately: Group 1 includes keratoses, warts versus carcinomas; and group 2 includes common nevi versus dysplastic nevi. A region search algorithm was developed to extract both one- and two-dimensional spectral information. A bootstrap-based Bayes classifier was used for classification. A computer-assisted tool was then devised to act as an electronic second opinion to the dermatologist. Our approach generated only one false-positive misclassification out of 23 cases collected for group 1 and two misclassifications out of 34 cases collected for group 2 under the worst estimation condition.
© 2002 Optical Society of America
(100.0100) Image processing : Image processing
(110.0110) Imaging systems : Imaging systems
(170.0170) Medical optics and biotechnology : Medical optics and biotechnology
(300.0300) Spectroscopy : Spectroscopy
Mehrübe Mehrübeoğlu, Nasser Kehtarnavaz, Guillermo Marquez, Madeleine Duvic, and Lihong V. Wang, "Skin lesion classification using oblique-incidence diffuse reflectance spectroscopic imaging," Appl. Opt. 41, 182-192 (2002)