Skip to main content
. 2019 Mar 26;9:5123. doi: 10.1038/s41598-019-41479-5

Figure 5.

Figure 5

Sequence for deep-learning-assisted labeling. All slides are randomly divided into 6:2:2 as training, test, and validation set in subset 1 and 2. (a) Training classification model with feasible ROIs in subset 1. (b) Training detection model with manual labeled masks in the feasible ROIs (c). Extracting candidate feasible ROIs in subset 2 by the classification model. (c) Extracting candidate PTCs by the detection model and confirming results of (d) as deep-learning-assisted labeling.