Copyright
©The Author(s) 2021.
World J Gastroenterol. Aug 28, 2021; 27(32): 5351-5361
Published online Aug 28, 2021. doi: 10.3748/wjg.v27.i32.5351
Published online Aug 28, 2021. doi: 10.3748/wjg.v27.i32.5351
Figure 2 Computer-aided detection system for detecting and classifying colorectal polyps.
The top image is a polypoid lesion (delimited by blue marks) identified by a CADe system. The bottom image is a lesion classified as neoplastic by the CADx system with a high degree of confidence (three gray bars on the right side of the image)[33]. Citation: Mori Y, Neumann H, Misawa M, Kudo SE, Bretthauer M. Artificial intelligence in colonoscopy - Now on the market. What's next? J Gastroenterol Hepatol 2021; 36(1): 7-11. Copyright © The Author(s) 2020. Published by Journal of Gastroenterology and Hepatology Foundation and John Wiley & Sons Australia, Ltd.
- Citation: Correia FP, Lourenço LC. Artificial intelligence application in diagnostic gastrointestinal endoscopy - Deus ex machina? World J Gastroenterol 2021; 27(32): 5351-5361
- URL: https://www.wjgnet.com/1007-9327/full/v27/i32/5351.htm
- DOI: https://dx.doi.org/10.3748/wjg.v27.i32.5351