Copyright
©The Author(s) 2020.
World J Gastroenterol. Oct 7, 2020; 26(37): 5606-5616
Published online Oct 7, 2020. doi: 10.3748/wjg.v26.i37.5606
Published online Oct 7, 2020. doi: 10.3748/wjg.v26.i37.5606
Figure 1 Convolutional neural network design.
Figure 2 GI-Genius computer aided polyp detection system in high definition white light, and virtual chromoendoscopy with blue light imaging and linked color imaging.
A: High definition white light; B: Virtual chromoendoscopy with blue light imaging; C: Virtual chromoendoscopy with linked color imaging.
- Citation: Attardo S, Chandrasekar VT, Spadaccini M, Maselli R, Patel HK, Desai M, Capogreco A, Badalamenti M, Galtieri PA, Pellegatta G, Fugazza A, Carrara S, Anderloni A, Occhipinti P, Hassan C, Sharma P, Repici A. Artificial intelligence technologies for the detection of colorectal lesions: The future is now. World J Gastroenterol 2020; 26(37): 5606-5616
- URL: https://www.wjgnet.com/1007-9327/full/v26/i37/5606.htm
- DOI: https://dx.doi.org/10.3748/wjg.v26.i37.5606