Retrospective Study
Copyright ©The Author(s) 2020.
World J Gastroenterol. Jul 7, 2020; 26(25): 3650-3659
Published online Jul 7, 2020. doi: 10.3748/wjg.v26.i25.3650
Figure 1
Figure 1 Overview of preparation of the dataset. CNN: Convolutional neural network; MAG: Manual annotation group; AAG: Automatic annotation group.
Figure 2
Figure 2 Examples of gastric X-ray images for evaluation.
Figure 3
Figure 3 Visualization of the results estimated by the fine-tuned convolutional neural network to select patches from the automatic annotation group at each NMAG for the chronic atrophic gastritis image shown in Figure 2A. The inside and outside regions of the stomach overlapped since gastric X-ray images were divided into patches with the overlap in this experiment.
Figure 4
Figure 4 Harmonic mean of the detection results obtained by changing NMAG. Results are shown as means ± SD of five trials. AAG: Automatic annotation group; MAG: Manual annotation group; HM: Harmonic mean.