2.6 Statistical analysis
We used quantitative metrics to evaluate the performance of the proposed method. For the segmentation result, we used the intersection-over-union (IoU) value. For the classification result, we chose the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). For the final accuracy, we used the mean average precision (mAP). We applied a minimum threshold of IoU at 0.5 to calculate mAP, which measures the overlap between prediction and ground truth[20,21]. All statistical analyses were performed using R software version 3.6.