Artificial Intelligence (AI) in Colonoscopy

Author:

Misawa Masashi,Kudo Shin-ei

Publisher

Springer Nature Singapore

Reference35 articles.

1. van Rijn JC, Reitsma JB, Stoker J, et al. Polyp miss rate determined by tandem colonoscopy: a systematic review. Am J Gastroenterol. 2006;101:343–50.

2. Rees CJ, Rajasekhar PT, Wilson A, et al. Narrow band imaging optical diagnosis of small colorectal polyps in routine clinical practice: the detect inspect characterise resect and DISCARD 2 (DISCARD 2) study. Gut. 2017;66:887–95.

3. Bernal J, Sánchez J, Vilarino F. Towards automatic polyp detection with a polyp appearance model. Pattern Recogn. 2012;45:3166–82.

4. Misawa M, Kudo SE, Mori Y, et al. Artificial intelligence-assisted polyp detection for colonoscopy: initial experience. Gastroenterology. 2018;154(2027-2029):e3.

5. Urban G, Tripathi P, Alkayali T, et al. Deep learning localizes and identifies polyps in real time with 96% accuracy in screening colonoscopy. Gastroenterology. 2018;155(1069-1078):e8.

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