Copyright
©The Author(s) 2021.
World J Gastroenterol. Jun 14, 2021; 27(22): 2979-2993
Published online Jun 14, 2021. doi: 10.3748/wjg.v27.i22.2979
Published online Jun 14, 2021. doi: 10.3748/wjg.v27.i22.2979
Figure 1 The convolutional neural network model.
A convolutional neural network consists of an input layer, a few hidden layers and an output layer. It is commonly applied in medical imaging through the detection, segmentation and classification of image patterns.
- Citation: Hsiao YJ, Wen YC, Lai WY, Lin YY, Yang YP, Chien Y, Yarmishyn AA, Hwang DK, Lin TC, Chang YC, Lin TY, Chang KJ, Chiou SH, Jheng YC. Application of artificial intelligence-driven endoscopic screening and diagnosis of gastric cancer. World J Gastroenterol 2021; 27(22): 2979-2993
- URL: https://www.wjgnet.com/1007-9327/full/v27/i22/2979.htm
- DOI: https://dx.doi.org/10.3748/wjg.v27.i22.2979