Decision Support System for Oncoscreening of the Oral Mucosa and Red Border of the Lips Using Diffuse Reflectance Spectroscopy of the Visible qnd Near-IR Range in Vivo

This paper focuses on studying a decision support system for oncological screening that detects early cancer and precancerous lesions of the oral mucosa and red border of lips using in vivo diffuse reflectance spectroscopy (DRS) in the wavelength range from 400 to 1100 nm. The paper presents the results of developing and testing methods to improve the accuracy of automatic classification of DRS spectra of precancerous lesions and intact areas of the mucosa based on supervised machine learning algorithms.