Copyright
©The Author(s) 2021.
Artif Intell Gastrointest Endosc. Apr 28, 2021; 2(2): 12-24
Published online Apr 28, 2021. doi: 10.37126/aige.v2.i2.12
Published online Apr 28, 2021. doi: 10.37126/aige.v2.i2.12
Figure 1 Schematic diagram of each evaluation index relationship.
TP: True positive; FP: False-positive; TN: True negative; FN: False negative.
Figure 2 The basic architecture of image segmentation for gastric cancer based on full convolutional network.
Figure 3 Basic architecture of gastric cancer image recognition methods based on generative adversarial network.
- Citation: Li Y, Zhou D, Liu TT, Shen XZ. Application of deep learning in image recognition and diagnosis of gastric cancer. Artif Intell Gastrointest Endosc 2021; 2(2): 12-24
- URL: https://www.wjgnet.com/2689-7164/full/v2/i2/12.htm
- DOI: https://dx.doi.org/10.37126/aige.v2.i2.12