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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

Research article (Gastrointestinal Endoscopy, 2020) · cited 101× · AI/ML
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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

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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 is a scholarly article[1].

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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's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). 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. Retrieved May 24, 2026, from https://4ort.xyz/entity/highly-accurate-artificial-intelligence-systems-to-predict-the-invasion-depth-of-gastric-cancer-efficacy-of-conventional
MLA “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.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/highly-accurate-artificial-intelligence-systems-to-predict-the-invasion-depth-of-gastric-cancer-efficacy-of-conventional.
BibTeX @misc{4ortxyz_highly-accurate-artificial-intelligence-systems-to-predict-the-invasion-depth-of-gastric-cancer-efficacy-of-conventional_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{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}}, year = {2026}, url = {https://4ort.xyz/entity/highly-accurate-artificial-intelligence-systems-to-predict-the-invasion-depth-of-gastric-cancer-efficacy-of-conventional}, note = {Accessed: 2026-05-24}}
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