Figure8
From: A deep learning-based system for accurate detection of anatomical landmarks in colon environment
![A deep learning-based system for accurate detection of anatomical landmarks in colon environment](https://image.oaes.cc/e8b7e19e-a226-4e73-b2fb-b52cd6a7d476/ir4010-8.jpg)
Figure 8. ROC curves of intermediate detection results. AUC represents area under the ROC curve. L1, L2, and L3 represent hepatic flexure, splenic flexure, and sigmoid-descending colon junction, respectively. ROC: Receiver operating characteristic; AUC: area under the ROC curve.