On the basis of this finding, we hypothesised that using the quantitative tau burden ascertained from a deep learning‐based object detection model can achieve a more accurate, objective and reproducible diagnosis and that it can be applied for a wider range of tauopathies in addition to PSP and CBD. The gene discussed is MAPT; the disease is red-green color blindness.