Figure 2:

Overall study schema. More than 1.1 million CT images and their corresponding scout image data from 4,214 clinically indicated CT studies were retrospectively collected. Data were split into three cohorts consisting of 3,790 (90%), 212 (5%) and 212 (5%) CT studies for training, validation and testing of the deep learning model, respectively. The total number of unique data samples used was 1,001,496 for training, 55,136 for validation, and 55,136 for testing. After the ScoutCT-NET model was trained, 3D image localizers were calculated for the 212 testing patients and image analysis was performed.