Role of artificial intelligence in the diagnosis of oesophageal neoplasia: 2020 an endoscopic odyssey

doi:10.3748/wjg.v26.i38.5784

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World Journal of Gastroenterology

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1007-9327

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

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World J Gastroenterol. Oct 14, 2020; 26(38): 5784-5796
Published online Oct 14, 2020. doi: 10.3748/wjg.v26.i38.5784

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Figure 1 A deep learning model. Features of an endoscopic image processed through multiple neural layers to produce a predicted diagnosis of oesophageal cancer or no oesophageal cancer present on the image.

Citation: Hussein M, González-Bueno Puyal J, Mountney P, Lovat LB, Haidry R. Role of artificial intelligence in the diagnosis of oesophageal neoplasia: 2020 an endoscopic odyssey. World J Gastroenterol 2020; 26(38): 5784-5796
URL: https://www.wjgnet.com/1007-9327/full/v26/i38/5784.htm
DOI: https://dx.doi.org/10.3748/wjg.v26.i38.5784