Copyright
©The Author(s) 2020.
World J Gastroenterol. Sep 28, 2020; 26(36): 5408-5419
Published online Sep 28, 2020. doi: 10.3748/wjg.v26.i36.5408
Published online Sep 28, 2020. doi: 10.3748/wjg.v26.i36.5408
Ref. | Year | Country/region | Number of cases | Study population | Methods | Results |
Huang et al[32] | 2020 | China | - | Hospital | Deep CNN | - |
Gao et al[33] | 2019 | China | 32495 images | Hospital | FR-CNN | AUCs (0.9541) |
Li et al[34] | 2015 | China | 26 cases | Hospital | KNN algorithm | Accuracy (76.92%) |
Li et al[35] | 2012 | China | 38 lymph node datasets | Hospital | ML | Accuracy (96.33%) |
- Citation: Niu PH, Zhao LL, Wu HL, Zhao DB, Chen YT. Artificial intelligence in gastric cancer: Application and future perspectives. World J Gastroenterol 2020; 26(36): 5408-5419
- URL: https://www.wjgnet.com/1007-9327/full/v26/i36/5408.htm
- DOI: https://dx.doi.org/10.3748/wjg.v26.i36.5408