Fig. 5: The effect of training dataset size and a user study of tumor annotation efficiency.

a Scaling up the training image size to one million can significantly improve the model performance on both internal and external validation sets. b MedSAM can be used to substantially reduce the annotation time cost. Source data are provided as a Source Data file.