Early cancers detection by means of smartphone with semi-supervised learning that may minimize False Negative Rate (FNR)

Abstract

Fig. 1 ) data-guided semi-unsupervised learning at our algorithm at min. False Negative Rate). As long as we do not change the cancer diagnosis standard, e.g. taking samples and growing on a Petri dish, etc. and letting the physicians make the final decision, we do not have legal liability, but moral obligations.