The potential role of artificial intelligence besides predicting gastric cancer invasion depth
- PMID: 36522020
- DOI: 10.1016/j.gie.2022.07.015
The potential role of artificial intelligence besides predicting gastric cancer invasion depth
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Application of convolutional neural network in the diagnosis of the invasion depth of gastric cancer based on conventional endoscopy.Gastrointest Endosc. 2019 Apr;89(4):806-815.e1. doi: 10.1016/j.gie.2018.11.011. Epub 2018 Nov 16. Gastrointest Endosc. 2019. PMID: 30452913
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Highly accurate artificial intelligence systems to predict the invasion depth of gastric cancer: efficacy of conventional white-light imaging, nonmagnifying narrow-band imaging, and indigo-carmine dye contrast imaging.Gastrointest Endosc. 2020 Oct;92(4):866-873.e1. doi: 10.1016/j.gie.2020.06.047. Epub 2020 Jun 25. Gastrointest Endosc. 2020. PMID: 32592776
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Deep learning system compared with expert endoscopists in predicting early gastric cancer and its invasion depth and differentiation status (with videos).Gastrointest Endosc. 2022 Jan;95(1):92-104.e3. doi: 10.1016/j.gie.2021.06.033. Epub 2021 Jul 7. Gastrointest Endosc. 2022. PMID: 34245752
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