Fig. 2.

Procedure for calculating precision, recall, and accuracy values to evaluate each model’s performance in large-scale images. The annotated 2688 × 2688 images are split into 448 × 448-pixel tiles, and each model predicts the presence or absence of the lesion in each tile image. Subsequently, true and false predictions are defined according to the ground truth annotation, and the precision, accuracy, and recall values for each 2688 × 2688 image can be calculated