The weighting factor α was adjusted to calibrate deep learning‐based model observer (DL‐MO) performance to the averaged human observers (HOs) performance at the experimental condition #10, that is, lesion size was 5 mm, lesion contrast was 20 HU, radiation dose was half of routine dose level, and computed tomography images were reconstructed by iterative algorithm. The value of α was varied from 0.1 to 5.5 with a uniform interval of 0.1. Every second sample was plotted out for the convenience of illustration. The error bars indicate the standard deviation of DL‐MO performance. AUC_ROC denotes the area under the receiver operating characteristic curve.