Skin lesion classification using oblique-incidence diffuse reflectance spectroscopic imaging.
We discuss the use of a noninvasive in vivo 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.
Mehrübeoğlu
Mehrübe
M
A&M University, College Station, Texas 77842, USA. mehrubeoglum@esi.com
Kehtarnavaz
Nasser
N
Marquez
Guillermo
G
Duvic
Madeleine
M
Wang
Lihong V
LV
D006801:Humans; D012542:Scattering, Radiation; D012867:Skin / Q000473:pathology*; D013057:Spectrum Analysis / Q000379:methods*