This paper presents a novel screening method based on thermal image classification. The classification uses the thermal parameters of the multilayer structure of the skin tissue as the images' features. These physical thermal parameters are evaluated using the inverse thermal modelling. The thermal process in the tissue was induced by the weak cooling. Temperature rise after cooling was used to recover the unknown thermal parameters including perfusion.