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
Published online Jul 7, 2020. doi: 10.3748/wjg.v26.i25.3650
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.
- Citation: Kanai M, Togo R, Ogawa T, Haseyama M. Chronic atrophic gastritis detection with a convolutional neural network considering stomach regions. World J Gastroenterol 2020; 26(25): 3650-3659
- URL: https://www.wjgnet.com/1007-9327/full/v26/i25/3650.htm
- DOI: https://dx.doi.org/10.3748/wjg.v26.i25.3650