Artificial intelligence in endoscopy: The challenges and future directions

doi:10.37126/aige.v2.i4.117

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Aug 28, 2021 (publication date) through Nov 3, 2024

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Artificial Intelligence in Gastrointestinal Endoscopy

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2689-7164

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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Artif Intell Gastrointest Endosc. Aug 28, 2021; 2(4): 117-126
Published online Aug 28, 2021. doi: 10.37126/aige.v2.i4.117

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Figure 2 Examples of endoscopic images where green and blue masks refer to low and high grade dysplasia respectively and red for squamous cell cancer. A-D: White light endoscopy; E-G: Narrow band imaging; H: Lugol’s. Mask colours: Green = low grade dysplasia; Blue = high grade dysplasia; Red = Squamous cell cancer.

Citation: Gao X, Braden B. Artificial intelligence in endoscopy: The challenges and future directions. Artif Intell Gastrointest Endosc 2021; 2(4): 117-126
URL: https://www.wjgnet.com/2689-7164/full/v2/i4/117.htm
DOI: https://dx.doi.org/10.37126/aige.v2.i4.117