Hyperspectral database of pathological in-vitro human brain samples to detect carcinogenic tissues

Abstract

Hyperspectral imaging is an emerging technology for medical diagnosis. Some previous studies have used this type of images to detect cancer diseases. In this research work, a multidisciplinary team conformed by pathologists and engineers has created a diagnosed hyperspectral database of in-vitro human brain tissues. In order to capture the hyperspectral information from histological slides, an acquisition system based on a microscope coupled with a hyperspectral camera has been developed. Preliminary results of applying two different supervised classification algorithms (Support Vector Machines and Artificial Neural Networks) to the hyperspectral database show that an automatic discrimination between healthy and tumour brain tissues from in-vitro samples is possible using exclusively their spectral information. The sensitivity and the specificity are over 92% in all the cases.