Overview of the training of the AI model for daily QC.

An overview of the modeling method used, which includes three steps, is shown. The first step is the data preprocessing step; data are organized and converted in several patches that can be used to train the models. The next step is the patch classifier training step; training is carried out based on the labeled data for each patch generated from a single WSI. The final step is the training WSI classifier step; models that generate information for classification of WSIs are trained by combining the data regarding each WSI. The same model training method was applied to gastric and colorectal models. Abbreviations: AI (artificial intelligence), WSI (whole slide image), QC (quality control), GUI (graphical user interface), M (Malignant), D (Dysplasia), N (Negative for dysplasia).