Enhancing accuracy in Barrett's surveillance using artificial intelligence: A multimodal (white-light and narrow-band imaging) model comparing vision transformer and convolutional neural networks

Tan, J.L.Pitawela, D.Chinnaratha, A.Chen, H.-T.Carneiro, G.Singh, R.2024-04-152024-04-152023Journal of Gastroenterology and Hepatology, 2023, vol.38, iss.Suppl. 2, pp.251-2510815-93191440-1746https://hdl.handle.net/2440/140584Abstract 84enEditorial material and organization © 2023 Journal of Gastroenterology and Hepatology Foundation and John Wiley & Sons Australia, Ltd. Copyright of individual abstracts remains with the authors.Enhancing accuracy in Barrett's surveillance using artificial intelligence: A multimodal (white-light and narrow-band imaging) model comparing vision transformer and convolutional neural networksConference item10.1111/jgh.162972023-12-18674011Chen, H.-T. [0000-0003-0873-2698]Carneiro, G. [0000-0002-5571-6220]