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Artificial intelligence for polyp characterization: Easy as ABC

Ahmad, OF; (2022) Artificial intelligence for polyp characterization: Easy as ABC. Endoscopy , 55 (1) pp. 23-24. 10.1055/a-1931-4332. Green open access

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Type: Article
Title: Artificial intelligence for polyp characterization: Easy as ABC
Location: Germany
Open access status: An open access version is available from UCL Discovery
DOI: 10.1055/a-1931-4332
Publisher version: https://doi.org/10.1055/a-1931-4332
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Humans, Artificial Intelligence, Algorithms, Colonic Polyps, Colonoscopy, Colorectal Neoplasms
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10162816
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