Evaluation of the Effectiveness of Near-Infrared Spectrum Imaging in Pathological Specimens

Abstract

Hyperspectral images are expected to be applied to pathological image analysis. In this study, we investigated the effect of infrared spectral images by converting HE-stained specimens to Grimelius-stained specimens that is positive for neuroendocrine granule, using U-net and evaluating the conversion accuracy. The results suggest that the estimation accuracy may be improved by adding not only visible light spectroscopic images but also infrared light spectroscopic images.