Copyright
©The Author(s) 2020.
World J Gastroenterol. Sep 14, 2020; 26(34): 5156-5168
Published online Sep 14, 2020. doi: 10.3748/wjg.v26.i34.5156
Published online Sep 14, 2020. doi: 10.3748/wjg.v26.i34.5156
Figure 3 Receiver operating characteristic curves and AUC values for the binary classification of the plain scan using the convolutional neural network model.
Each trainee’s prediction is represented by a single green point. The blue point is the average prediction of them. Each gastroenterologist’s prediction is represented by a single brown point. The red point is the average prediction of them. ROC: Receiver operating characteristic.
- Citation: Ma H, Liu ZX, Zhang JJ, Wu FT, Xu CF, Shen Z, Yu CH, Li YM. Construction of a convolutional neural network classifier developed by computed tomography images for pancreatic cancer diagnosis. World J Gastroenterol 2020; 26(34): 5156-5168
- URL: https://www.wjgnet.com/1007-9327/full/v26/i34/5156.htm
- DOI: https://dx.doi.org/10.3748/wjg.v26.i34.5156