Fig. 3

Precision–recall curves for the model’s evaluation on the testing dataset. Each curve represents one of the five different pixel area thresholds that were used in ⁶⁸Ga-DOTATATE avid hepatic lesion detection. The greater the area under the curve (AUC), the better the model was at correctly predicting true lesions. Precision is equivalent to positive predictive value and recall is equivalent to sensitivity