Clin Endosc.
2022 Sep;55(5):701-702. 10.5946/ce.2022.123.1.
Response to Artificial intelligence-based colorectal polyp histology prediction using narrow-band image-magnifying colonoscopy: a stepping stone for clinical practice
- Affiliations
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- 1Department of Internal Medicine and Gastroenterology, Petz Aladar University Teaching Hospital, Gyor, Hungary
- 2Department of Physics and Chemistry, Szechenyi Istvan University, Gyor, Hungary
- 3Department of Mathematics and Informatics, Szechenyi Istvan University, Gyor, Hungary
- KMID: 2533313
- DOI: http://doi.org/10.5946/ce.2022.123.1
Reference
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1. Racz I, Horvath A, Kranitz N, et al. Artificial intelligence-based colorectal polyp histology prediction by using narrow-band image-magnifying colonoscopy. Clin Endosc. 2022; 55:113–121.2. Gonai T, Kawasaki K, Nakamura S, et al. Microvascular density under magnifying narrow-band imaging endoscopy in colorectal epithelial neoplasms. Intest Res. 2020; 18:107–114.3. Yamashina T, Takeuchi Y, Uedo N, et al. Diagnostic features of sessile serrated adenoma/polyps on magnifying narrow band imaging: a prospective study of diagnostic accuracy. J Gastroenterol Hepatol. 2015; 30:117–123.
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